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https://api.github.com/repos/huggingface/datasets/issues/6139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6139/comments | https://api.github.com/repos/huggingface/datasets/issues/6139/events | https://github.com/huggingface/datasets/issues/6139 | 1,844,991,583 | I_kwDODunzps5t-FZf | 6,139 | Offline dataset viewer | {
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"Hi, thanks for the suggestion. It's not possible at the moment. The viewer is part of the Hub codebase and only works on public datasets. Also, it relies on [Datasets Server](https://github.com/huggingface/datasets-server/), which prepares the data and provides an API to access the rows, size, etc.\r\n\r\nIf you'r... | 2023-08-10T11:30:00Z | 2024-09-24T18:36:35Z | 2023-09-29T13:10:22Z | NONE | null | null | {
"completed": 0,
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} | ### Feature request
The dataset viewer feature is very nice. It enables to the user to easily view the dataset. However, when working for private companies we cannot always upload the dataset to the hub. Is there a way to create dataset viewer offline? I.e. to run a code that will open some kind of html or something t... | {
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https://api.github.com/repos/huggingface/datasets/issues/6136 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6136/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6136/comments | https://api.github.com/repos/huggingface/datasets/issues/6136/events | https://github.com/huggingface/datasets/issues/6136 | 1,844,887,866 | I_kwDODunzps5t9sE6 | 6,136 | CI check_code_quality error: E721 Do not compare types, use `isinstance()` | {
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} | After latest release of `ruff` (https://pypi.org/project/ruff/0.0.284/), we get the following CI error:
```
src/datasets/utils/py_utils.py:689:12: E721 Do not compare types, use `isinstance()`
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/6134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6134/comments | https://api.github.com/repos/huggingface/datasets/issues/6134/events | https://github.com/huggingface/datasets/issues/6134 | 1,844,535,142 | I_kwDODunzps5t8V9m | 6,134 | `datasets` cannot be installed alongside `apache-beam` | {
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"I noticed that this is actually covered by issue #5613, which for some reason I didn't see when I searched the issues in this repo the first time."
] | 2023-08-10T06:54:32Z | 2023-09-01T03:19:49Z | 2023-08-10T15:22:10Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
If one installs `apache-beam` alongside `datasets` (which is required for the [wikipedia](https://huggingface.co/datasets/wikipedia#dataset-summary) dataset) in certain environments (such as a Google Colab notebook), they appear to install successfully, however, actually trying to do something s... | {
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https://api.github.com/repos/huggingface/datasets/issues/6132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6132/comments | https://api.github.com/repos/huggingface/datasets/issues/6132/events | https://github.com/huggingface/datasets/issues/6132 | 1,843,491,020 | I_kwDODunzps5t4XDM | 6,132 | to_iterable_dataset is missing in document | {
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"Fixed with PR"
] | 2023-08-09T15:15:03Z | 2023-08-16T04:43:36Z | 2023-08-16T04:43:29Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | ### Describe the bug
to_iterable_dataset is missing in document
### Steps to reproduce the bug
to_iterable_dataset is missing in document
### Expected behavior
document enhancement
### Environment info
unrelated | {
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https://api.github.com/repos/huggingface/datasets/issues/6130 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6130/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6130/comments | https://api.github.com/repos/huggingface/datasets/issues/6130/events | https://github.com/huggingface/datasets/issues/6130 | 1,843,158,846 | I_kwDODunzps5t3F8- | 6,130 | default config name doesn't work when config kwargs are specified. | {
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"@lhoestq ",
"What should be the behavior in this case ? Should it override the default config with the added parameter ?",
"I know why it should be treated as a new config if overriding parameters are passed. But in some case, I just pass in some common fields like `data_dir`.\r\n\r\nFor example, I want to ext... | 2023-08-09T12:43:15Z | 2023-11-22T11:50:49Z | 2023-11-22T11:50:48Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | ### Describe the bug
https://github.com/huggingface/datasets/blob/12cfc1196e62847e2e8239fbd727a02cbc86ddec/src/datasets/builder.py#L518-L522
If `config_name` is `None`, `DEFAULT_CONFIG_NAME` should be select. But once users pass `config_kwargs` to their customized `BuilderConfig`, the logic is ignored, and dataset ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6128/comments | https://api.github.com/repos/huggingface/datasets/issues/6128/events | https://github.com/huggingface/datasets/issues/6128 | 1,841,545,493 | I_kwDODunzps5tw8EV | 6,128 | IndexError: Invalid key: 88 is out of bounds for size 0 | {
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"Hi @TomasAndersonFang,\r\n\r\nHave you tried instead to use `torch_compile` in `transformers.TrainingArguments`? https://huggingface.co/docs/transformers/v4.31.0/en/main_classes/trainer#transformers.TrainingArguments.torch_compile",
"> \r\n\r\nI tried this and got the following error:\r\n\r\n```\r\nTraceback (mo... | 2023-08-08T15:32:08Z | 2023-12-26T07:51:57Z | 2023-08-11T13:35:09Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
This bug generates when I use torch.compile(model) in my code, which seems to raise an error in datasets lib.
### Steps to reproduce the bug
I use the following code to fine-tune Falcon on my private dataset.
```python
import transformers
from transformers import (
AutoModelForCausalLM... | {
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https://api.github.com/repos/huggingface/datasets/issues/6126 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6126/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6126/comments | https://api.github.com/repos/huggingface/datasets/issues/6126/events | https://github.com/huggingface/datasets/issues/6126 | 1,839,675,320 | I_kwDODunzps5tpze4 | 6,126 | Private datasets do not load when passing token | {
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"Our CI did not catch this issue because with current implementation, stored token in `HfFolder` (which always exists) is used by default.",
"I can confirm this and have the same problem (and just went almost crazy because I couldn't figure out the source of this problem because on another computer everything wor... | 2023-08-07T15:06:47Z | 2023-08-08T15:16:23Z | 2023-08-08T15:16:23Z | MEMBER | null | null | {
"completed": 0,
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} | ### Describe the bug
Since the release of `datasets` 2.14, private/gated datasets do not load when passing `token`: they raise `EmptyDatasetError`.
This is a non-planned backward incompatible breaking change.
Note that private datasets do load if instead `download_config` is passed:
```python
from datasets i... | {
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https://api.github.com/repos/huggingface/datasets/issues/6125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6125/comments | https://api.github.com/repos/huggingface/datasets/issues/6125/events | https://github.com/huggingface/datasets/issues/6125 | 1,837,980,986 | I_kwDODunzps5tjV06 | 6,125 | Reinforcement Learning and Robotics are not task categories in HF datasets metadata | {
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"completed": 0,
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} | ### Describe the bug
In https://huggingface.co/models there are task categories for RL and robotics but none in https://huggingface.co/datasets
Our lab is currently moving our datasets over to hugging face and would like to be able to add those 2 tags
Moreover we see some older datasets that do have that tag, bu... | {
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https://api.github.com/repos/huggingface/datasets/issues/6124 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6124/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6124/comments | https://api.github.com/repos/huggingface/datasets/issues/6124/events | https://github.com/huggingface/datasets/issues/6124 | 1,837,868,112 | I_kwDODunzps5ti6RQ | 6,124 | Datasets crashing runs due to KeyError | {
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"i once had the same error and I could fix that by pushing a fake or a dummy commit on my hugging face dataset repo",
"Hi! We need a reproducer to fix this. Can you provide a link to the dataset (if it's public)?",
"> Hi! We need a reproducer to fix this. Can you provide a link to the dataset (if it's public)?\... | 2023-08-05T17:48:56Z | 2023-11-30T16:28:57Z | 2023-11-30T16:28:57Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Hi all,
I have been running into a pretty persistent issue recently when trying to load datasets.
```python
train_dataset = load_dataset(
'llama-2-7b-tokenized',
split = 'train'
)
```
I receive a KeyError which crashes the runs.
```
Traceback (most recent call... | {
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https://api.github.com/repos/huggingface/datasets/issues/6123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6123/comments | https://api.github.com/repos/huggingface/datasets/issues/6123/events | https://github.com/huggingface/datasets/issues/6123 | 1,837,789,294 | I_kwDODunzps5tinBu | 6,123 | Inaccurate Bounding Boxes in "wildreceipt" Dataset | {
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"Hi! Thanks for the investigation, but we are not the authors of these datasets, so please report this on the Hub instead so that the actual authors can fix it."
] | 2023-08-05T14:34:13Z | 2023-08-17T14:25:27Z | 2023-08-17T14:25:26Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I would like to bring to your attention an issue related to the accuracy of bounding boxes within the "wildreceipt" dataset, which is made available through the Hugging Face API. Specifically, I have identified a discrepancy between the bounding boxes generated by the dataset loading commands, n... | {
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https://api.github.com/repos/huggingface/datasets/issues/6122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6122/comments | https://api.github.com/repos/huggingface/datasets/issues/6122/events | https://github.com/huggingface/datasets/issues/6122 | 1,837,335,721 | I_kwDODunzps5tg4Sp | 6,122 | Upload README via `push_to_hub` | {
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"following_url": "https://api.github.com/users/liyucheng09/following{/other_user}",
"gists_u... | [
{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
}
] | closed | false | null | [] | null | [
"You can use `huggingface_hub`'s [Card API](https://huggingface.co/docs/huggingface_hub/package_reference/cards) to programmatically push a dataset card to the Hub."
] | 2023-08-04T21:00:27Z | 2023-08-21T18:18:54Z | 2023-08-21T18:18:54Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Feature request
`push_to_hub` now allows users to upload datasets programmatically. However, based on the latest doc, we still need to open the dataset page to add readme file manually.
However, I do discover snippets to intialize a README for every `push_to_hub`:
```
dataset_card = (
DatasetCard(
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6116/comments | https://api.github.com/repos/huggingface/datasets/issues/6116/events | https://github.com/huggingface/datasets/issues/6116 | 1,835,098,484 | I_kwDODunzps5tYWF0 | 6,116 | [Docs] The "Process" how-to guide lacks description of `select_columns` function | {
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{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
}
] | closed | false | null | [] | null | [
"Great idea, feel free to open a PR! :)"
] | 2023-08-03T13:45:10Z | 2023-08-16T10:02:53Z | 2023-08-16T10:02:53Z | CONTRIBUTOR | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Feature request
The [how to process dataset guide](https://huggingface.co/docs/datasets/main/en/process) currently does not mention the [`select_columns`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.select_columns) function. It would be nice to include it in the gui... | {
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https://api.github.com/repos/huggingface/datasets/issues/6114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6114/comments | https://api.github.com/repos/huggingface/datasets/issues/6114/events | https://github.com/huggingface/datasets/issues/6114 | 1,834,015,584 | I_kwDODunzps5tUNtg | 6,114 | Cache not being used when loading commonvoice 8.0.0 | {
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"You can avoid this by using the `revision` parameter in `load_dataset` to always force downloading a specific commit (if not specified it defaults to HEAD, hence the redownload).",
"Thanks @mariosasko this works well, looks like I should have read the documentation a bit more carefully. \r\n\r\nIt is still a bi... | 2023-08-02T23:18:11Z | 2023-08-18T23:59:00Z | 2023-08-18T23:59:00Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I have commonvoice 8.0.0 downloaded in `~/.cache/huggingface/datasets/mozilla-foundation___common_voice_8_0/en/8.0.0/b2f8b72f8f30b2e98c41ccf855954d9e35a5fa498c43332df198534ff9797a4a`. The folder contains all the arrow files etc, and was used as the cached version last time I touched the ec2 ins... | {
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https://api.github.com/repos/huggingface/datasets/issues/6113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6113/comments | https://api.github.com/repos/huggingface/datasets/issues/6113/events | https://github.com/huggingface/datasets/issues/6113 | 1,833,854,030 | I_kwDODunzps5tTmRO | 6,113 | load_dataset() fails with streamlit caching inside docker | {
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"Hi! This should be fixed in the latest (patch) release (run `pip install -U datasets` to install it). This behavior was due to a bug in our authentication logic."
] | 2023-08-02T20:20:26Z | 2023-08-21T18:18:27Z | 2023-08-21T18:18:27Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
When calling `load_dataset` in a streamlit application running within a docker container, get a failure with the error message:
EmptyDatasetError: The directory at hf://datasets/fetch-rewards/inc-rings-2000@bea27cf60842b3641eae418f38864a2ec4cde684 doesn't contain any data files
Traceback:
Fil... | {
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https://api.github.com/repos/huggingface/datasets/issues/6112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6112/comments | https://api.github.com/repos/huggingface/datasets/issues/6112/events | https://github.com/huggingface/datasets/issues/6112 | 1,833,693,299 | I_kwDODunzps5tS_Bz | 6,112 | yaml error using push_to_hub with generated README.md | {
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"gists_url"... | [
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"Thanks for reporting! This is a bug in converting the `ArrayXD` types to YAML. It will be fixed soon."
] | 2023-08-02T18:21:21Z | 2023-12-12T15:00:44Z | 2023-12-12T15:00:44Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
When I construct a dataset with the following features:
```
features = Features(
{
"pixel_values": Array3D(dtype="float64", shape=(3, 224, 224)),
"input_ids": Sequence(feature=Value(dtype="int64")),
"attention_mask": Sequence(Value(dtype="int64")),
"token... | {
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https://api.github.com/repos/huggingface/datasets/issues/6111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6111/comments | https://api.github.com/repos/huggingface/datasets/issues/6111/events | https://github.com/huggingface/datasets/issues/6111 | 1,832,781,654 | I_kwDODunzps5tPgdW | 6,111 | raise FileNotFoundError("Directory {dataset_path} is neither a `Dataset` directory nor a `DatasetDict` directory." ) | {
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"any idea?",
"This should work: `load_dataset(\"path/to/downloaded_repo\")`\r\n\r\n`load_from_disk` is intended to be used on directories created with `Dataset.save_to_disk` or `DatasetDict.save_to_disk`",
"> This should work: `load_dataset(\"path/to/downloaded_repo\")`\r\n> \r\n> `load_from_disk` is intended t... | 2023-08-02T09:17:29Z | 2023-08-29T02:00:28Z | 2023-08-29T02:00:28Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
For researchers in some countries or regions, it is usually the case that the download ability of `load_dataset` is disabled due to the complex network environment. People in these regions often prefer to use git clone or other programming tricks to manually download the files to the disk (for exa... | {
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https://api.github.com/repos/huggingface/datasets/issues/6110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6110/comments | https://api.github.com/repos/huggingface/datasets/issues/6110/events | https://github.com/huggingface/datasets/issues/6110 | 1,831,110,633 | I_kwDODunzps5tJIfp | 6,110 | [BUG] Dataset initialized from in-memory data does not create cache. | {
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"This is expected behavior. You must provide `cache_file_name` when performing `.map` on an in-memory dataset for the result to be cached."
] | 2023-08-01T11:58:58Z | 2023-08-17T14:03:01Z | 2023-08-17T14:03:00Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
`Dataset` initialized from in-memory data (dictionary in my case, haven't tested with other types) does not create cache when processed with the `map` method, unlike `Dataset` initialized by other methods such as `load_dataset`.
### Steps to reproduce the bug
```python
# below code was ru... | {
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https://api.github.com/repos/huggingface/datasets/issues/6109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6109/comments | https://api.github.com/repos/huggingface/datasets/issues/6109/events | https://github.com/huggingface/datasets/issues/6109 | 1,830,753,793 | I_kwDODunzps5tHxYB | 6,109 | Problems in downloading Amazon reviews from HF | {
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"Thanks for reporting, @610v4nn1.\r\n\r\nIndeed, the source data files are no longer available. We have contacted the authors of the dataset and they report that Amazon has decided to stop distributing the multilingual reviews dataset.\r\n\r\nWe are adding a notification about this issue to the dataset card.\r\n\r\... | 2023-08-01T08:38:29Z | 2024-06-25T13:48:38Z | 2023-08-02T07:12:07Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I have a script downloading `amazon_reviews_multi`.
When the download starts, I get
```
Downloading data files: 0%| | 0/1 [00:00<?, ?it/s]
Downloading data: 243B [00:00, 1.43MB/s]
Downloading data files: 100%|██████████| 1/1 [00:01<00:00, 1.54s/it]
Extracting data files: 100%... | {
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https://api.github.com/repos/huggingface/datasets/issues/6106 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6106/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6106/comments | https://api.github.com/repos/huggingface/datasets/issues/6106/events | https://github.com/huggingface/datasets/issues/6106 | 1,829,131,223 | I_kwDODunzps5tBlPX | 6,106 | load local json_file as dataset | {
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"Hi! We use PyArrow to read JSON files, and PyArrow doesn't allow different value types in the same column. #5776 should address this.\r\n\r\nIn the meantime, you can combine `Dataset.from_generator` with the above code to cast the values to the same type. ",
"Thanks for your help!"
] | 2023-07-31T12:53:49Z | 2023-08-18T01:46:35Z | 2023-08-18T01:46:35Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
I tried to load local json file as dataset but failed to parsing json file because some columns are 'float' type.
### Steps to reproduce the bug
1. load json file with certain columns are 'float' type. For example `data = load_data("json", data_files=JSON_PATH)`
2. Then, the error will be trigg... | {
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https://api.github.com/repos/huggingface/datasets/issues/6100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6100/comments | https://api.github.com/repos/huggingface/datasets/issues/6100/events | https://github.com/huggingface/datasets/issues/6100 | 1,828,118,930 | I_kwDODunzps5s9uGS | 6,100 | TypeError when loading from GCP bucket | {
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"Thanks for reporting, @bilelomrani1.\r\n\r\nWe are fixing it. ",
"We have fixed it. We are planning to do a patch release today."
] | 2023-07-30T23:03:00Z | 2023-08-03T10:00:48Z | 2023-08-01T10:38:55Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Loading a dataset from a GCP bucket raises a type error. This bug was introduced recently (either in 2.14 or 2.14.1), and appeared during a migration from 2.13.1.
### Steps to reproduce the bug
Load any file from a GCP bucket:
```python
import datasets
datasets.load_dataset("json", data_f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6099/comments | https://api.github.com/repos/huggingface/datasets/issues/6099/events | https://github.com/huggingface/datasets/issues/6099 | 1,827,893,576 | I_kwDODunzps5s83FI | 6,099 | How do i get "amazon_us_reviews | {
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"Seems like the problem isn't with the library, but the dataset itself hosted on AWS S3.\r\n\r\nIts [homepage](https://s3.amazonaws.com/amazon-reviews-pds/readme.html) returns an `AccessDenied` XML response, which is the same thing you get if you try to log the `record` that triggers the exception\r\n\r\n```python\... | 2023-07-30T11:02:17Z | 2023-08-21T05:08:08Z | 2023-08-10T05:02:35Z | NONE | null | null | {
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} | ### Feature request
I have been trying to load 'amazon_us_dataset" but unable to do so.
`amazon_us_reviews = load_dataset('amazon_us_reviews')`
`print(amazon_us_reviews)`
> [ValueError: Config name is missing.
Please pick one among the available configs: ['Wireless_v1_00', 'Watches_v1_00', 'Video_Games_v1... | {
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https://api.github.com/repos/huggingface/datasets/issues/6097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6097/comments | https://api.github.com/repos/huggingface/datasets/issues/6097/events | https://github.com/huggingface/datasets/issues/6097 | 1,827,054,143 | I_kwDODunzps5s5qI_ | 6,097 | Dataset.get_nearest_examples does not return all feature values for the k most similar datapoints - side effect of Dataset.set_format | {
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"Actually, my bad -- specifying\r\n```python\r\nfoo.set_format('numpy', ['vectors'], output_all_columns=True)\r\n```\r\nfixes it."
] | 2023-07-28T20:31:59Z | 2023-07-28T20:49:58Z | 2023-07-28T20:49:58Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Hi team!
I observe that there seems to be a side effect of `Dataset.set_format`: after setting a format and creating a FAISS index, the method `get_nearest_examples` from the `Dataset` class, fails to retrieve anything else but the embeddings themselves - not super useful. This is not the case ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6090/comments | https://api.github.com/repos/huggingface/datasets/issues/6090/events | https://github.com/huggingface/datasets/issues/6090 | 1,825,865,043 | I_kwDODunzps5s1H1T | 6,090 | FilesIterable skips all the files after a hidden file | {
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"Thanks for reporting. We've merged a PR with a fix."
] | 2023-07-28T07:25:57Z | 2023-07-28T10:51:14Z | 2023-07-28T10:50:11Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
When initializing `FilesIterable` with a list of file paths using `FilesIterable.from_paths`, it will discard all the files after a hidden file.
The problem is in [this line](https://github.com/huggingface/datasets/blob/88896a7b28610ace95e444b94f9a4bc332cc1ee3/src/datasets/download/download_manag... | {
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https://api.github.com/repos/huggingface/datasets/issues/6088 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6088/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6088/comments | https://api.github.com/repos/huggingface/datasets/issues/6088/events | https://github.com/huggingface/datasets/issues/6088 | 1,825,665,235 | I_kwDODunzps5s0XDT | 6,088 | Loading local data files initiates web requests | {
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} | As documented in the [official docs](https://huggingface.co/docs/datasets/v2.14.0/en/package_reference/loading_methods#datasets.load_dataset.example-2), I tried to load datasets from local files by
```python
# Load a JSON file
from datasets import load_dataset
ds = load_dataset('json', data_files='path/to/local/my_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6087 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6087/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6087/comments | https://api.github.com/repos/huggingface/datasets/issues/6087/events | https://github.com/huggingface/datasets/issues/6087 | 1,825,133,741 | I_kwDODunzps5syVSt | 6,087 | fsspec dependency is set too low | {
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"Thanks for reporting! A PR with a fix has just been merged."
] | 2023-07-27T20:08:22Z | 2023-07-28T10:07:56Z | 2023-07-28T10:07:03Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
fsspec.callbacks.TqdmCallback (used in https://github.com/huggingface/datasets/blob/73bed12ecda17d1573fd3bf73ed5db24d3622f86/src/datasets/utils/file_utils.py#L338) was first released in fsspec [2022.3.0](https://github.com/fsspec/filesystem_spec/releases/tag/2022.3.0, commit where it was added: ht... | {
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https://api.github.com/repos/huggingface/datasets/issues/6086 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6086/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6086/comments | https://api.github.com/repos/huggingface/datasets/issues/6086/events | https://github.com/huggingface/datasets/issues/6086 | 1,825,009,268 | I_kwDODunzps5sx250 | 6,086 | Support `fsspec` in `Dataset.to_<format>` methods | {
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"Hi @mariosasko unless someone's already working on it, I guess I can tackle it!",
"Hi! Sure, feel free to tackle this.",
"#self-assign",
"I'm assuming this should just cover `to_csv`, `to_parquet`, and `to_json`, right? As `to_list` and `to_dict` just return Python objects, `to_pandas` returns a `pandas.Data... | 2023-07-27T19:08:37Z | 2024-03-07T07:22:43Z | 2024-03-07T07:22:42Z | COLLABORATOR | null | null | {
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} | Supporting this should be fairly easy.
Requested on the forum [here](https://discuss.huggingface.co/t/how-can-i-convert-a-loaded-dataset-in-to-a-parquet-file-and-save-it-to-the-s3/48353). | {
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https://api.github.com/repos/huggingface/datasets/issues/6079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6079/comments | https://api.github.com/repos/huggingface/datasets/issues/6079/events | https://github.com/huggingface/datasets/issues/6079 | 1,822,597,471 | I_kwDODunzps5soqFf | 6,079 | Iterating over DataLoader based on HF datasets is stuck forever | {
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"When the process starts to hang, can you interrupt it with CTRL + C and paste the error stack trace here? ",
"Thanks @mariosasko for your prompt response, here's the stack trace:\r\n\r\n```\r\nKeyboardInterrupt Traceback (most recent call last)\r\nCell In[12], line 4\r\n 2 t = time.t... | 2023-07-26T14:52:37Z | 2024-02-07T17:46:52Z | 2023-07-30T14:09:06Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I am using Amazon Sagemaker notebook (Amazon Linux 2) with python 3.10 based Conda environment.
I have a dataset in parquet format locally. When I try to iterate over it, the loader is stuck forever. Note that the same code is working for python 3.6 based conda environment seamlessly. What shou... | {
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https://api.github.com/repos/huggingface/datasets/issues/6078 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6078/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6078/comments | https://api.github.com/repos/huggingface/datasets/issues/6078/events | https://github.com/huggingface/datasets/issues/6078 | 1,822,501,472 | I_kwDODunzps5soSpg | 6,078 | resume_download with streaming=True | {
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"Currently, it's not possible to efficiently resume streaming after an error. Eventually, we plan to support this for Parquet (see https://github.com/huggingface/datasets/issues/5380). ",
"Ok thank you for your answer",
"I'm closing this as a duplicate of #5380"
] | 2023-07-26T14:08:22Z | 2023-07-28T11:05:03Z | 2023-07-28T11:05:03Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I used:
```
dataset = load_dataset(
"oscar-corpus/OSCAR-2201",
token=True,
language="fr",
streaming=True,
split="train"
)
```
Unfortunately, the server had a problem during the training process. I saved the step my training stopped at.
But how can I resume download f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6075 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6075/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6075/comments | https://api.github.com/repos/huggingface/datasets/issues/6075/events | https://github.com/huggingface/datasets/issues/6075 | 1,822,341,398 | I_kwDODunzps5snrkW | 6,075 | Error loading music files using `load_dataset` | {
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"This code behaves as expected on my local machine or in Colab. Which version of `soundfile` do you have installed? MP3 requires `soundfile>=0.12.1`.",
"I upgraded the `soundfile` and it's working now! \r\nThanks @mariosasko for the help!"
] | 2023-07-26T12:44:05Z | 2023-07-26T13:08:08Z | 2023-07-26T13:08:08Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I tried to load a music file using `datasets.load_dataset()` from the repository - https://huggingface.co/datasets/susnato/pop2piano_real_music_test
I got the following error -
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/susnato/anaconda3/en... | {
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https://api.github.com/repos/huggingface/datasets/issues/6073 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6073/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6073/comments | https://api.github.com/repos/huggingface/datasets/issues/6073/events | https://github.com/huggingface/datasets/issues/6073 | 1,822,167,804 | I_kwDODunzps5snBL8 | 6,073 | version2.3.2 load_dataset()data_files can't include .xxxx in path | {
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"Version 2.3.2 is over one year old, so please use the latest release (2.14.0) to get the expected behavior. Version 2.3.2 does not contain some fixes we made to fix resolving hidden files/directories (starting with a dot)."
] | 2023-07-26T11:09:31Z | 2023-08-29T15:53:59Z | 2023-08-29T15:53:59Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
First, I cd workdir.
Then, I just use load_dataset("json", data_file={"train":"/a/b/c/.d/train/train.json", "test":"/a/b/c/.d/train/test.json"})
that couldn't work and
<FileNotFoundError: Unable to find
'/a/b/c/.d/train/train.jsonl' at
/a/b/c/.d/>
And I debug, it is fine in version2.1.2... | {
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https://api.github.com/repos/huggingface/datasets/issues/6071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6071/comments | https://api.github.com/repos/huggingface/datasets/issues/6071/events | https://github.com/huggingface/datasets/issues/6071 | 1,821,990,749 | I_kwDODunzps5smV9d | 6,071 | storage_options provided to load_dataset not fully piping through since datasets 2.14.0 | {
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"... | [] | closed | false | null | [] | null | [
"Hi ! Thanks for reporting, I opened a PR to fix this\r\n\r\nWhat filesystem are you using ?",
"Hi @lhoestq ! Thank you so much 🙌 \r\n\r\nIt's a bit of a custom setup, but in practice I am using a [pyarrow.fs.S3FileSystem](https://arrow.apache.org/docs/python/generated/pyarrow.fs.S3FileSystem.html) (wrapped in a... | 2023-07-26T09:37:20Z | 2023-07-27T12:42:58Z | 2023-07-27T12:42:58Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
Since the latest release of `datasets` (`2.14.0`), custom filesystem `storage_options` passed to `load_dataset()` do not seem to propagate through all the way - leading to problems if loading data files that need those options to be set.
I think this is because of the new `_prepare_path_and_sto... | {
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https://api.github.com/repos/huggingface/datasets/issues/6069 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6069/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6069/comments | https://api.github.com/repos/huggingface/datasets/issues/6069/events | https://github.com/huggingface/datasets/issues/6069 | 1,820,831,535 | I_kwDODunzps5sh68v | 6,069 | KeyError: dataset has no key "image" | {
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"You can list the dataset's columns with `ds.column_names` before `.map` to check whether the dataset has an `image` column. If it doesn't, then this is a bug. Otherwise, please paste the line with the `.map` call.\r\n\r\n\r\n",
"This is the piece of code I am running:\r\n```\r\ndata_transforms = utils.get_data_a... | 2023-07-25T17:45:50Z | 2024-09-06T08:16:16Z | 2023-07-27T12:42:17Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I've loaded a local image dataset with:
`ds = laod_dataset("imagefolder", data_dir=path-to-data)`
And defined a transform to process the data, following the Datasets docs.
However, I get a keyError error, indicating there's no "image" key in my dataset. When I printed out the example_batch ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6066 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6066/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6066/comments | https://api.github.com/repos/huggingface/datasets/issues/6066/events | https://github.com/huggingface/datasets/issues/6066 | 1,819,717,542 | I_kwDODunzps5sdq-m | 6,066 | AttributeError: '_tqdm_cls' object has no attribute '_lock' | {
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"Hi ! I opened https://github.com/huggingface/datasets/pull/6067 to add the missing `_lock`\r\n\r\nWe'll do a patch release soon, but feel free to install `datasets` from source in the meantime",
"I have tested the latest main, it does not work.\r\n\r\nI add more logs to reproduce this issue, it looks like a mult... | 2023-07-25T07:24:36Z | 2023-07-26T10:56:25Z | 2023-07-26T10:56:24Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
```python
File "/Users/codingl2k1/.pyenv/versions/3.11.4/lib/python3.11/site-packages/datasets/load.py", line 1034, in get_module
data_files = DataFilesDict.from_patterns(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/codingl2k1/.pyenv/versions/3.11.4/lib/python3.11/site-p... | {
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https://api.github.com/repos/huggingface/datasets/issues/6060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6060/comments | https://api.github.com/repos/huggingface/datasets/issues/6060/events | https://github.com/huggingface/datasets/issues/6060 | 1,816,614,120 | I_kwDODunzps5sR1To | 6,060 | Dataset.map() execute twice when in PyTorch DDP mode | {
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"Sorry for asking a duplicate question about `num_proc`, I searched the forum and find the solution.\r\n\r\nBut I still can't make the trick with `torch.distributed.barrier()` to only map at the main process work. The [post on forum]( https://discuss.huggingface.co/t/slow-processing-with-map-when-using-deepspeed-or... | 2023-07-22T05:06:43Z | 2024-01-22T18:35:12Z | 2024-01-22T18:35:12Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I use `torchrun --standalone --nproc_per_node=2 train.py` to start training. And write the code following the [docs](https://huggingface.co/docs/datasets/process#distributed-usage). The trick about using `torch.distributed.barrier()` to only execute map at the main process doesn't always work. W... | {
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https://api.github.com/repos/huggingface/datasets/issues/6058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6058/comments | https://api.github.com/repos/huggingface/datasets/issues/6058/events | https://github.com/huggingface/datasets/issues/6058 | 1,815,131,397 | I_kwDODunzps5sMLUF | 6,058 | laion-coco download error | {
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"This can also mean one of the files was not downloaded correctly.\r\n\r\nWe log an erroneous file's name before raising the reader's error, so this is how you can find the problematic file. Then, you should delete it and call `load_dataset` again.\r\n\r\n(I checked all the uploaded files, and they seem to be valid... | 2023-07-21T04:24:15Z | 2023-07-22T01:42:06Z | 2023-07-22T01:42:06Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
The full trace:
```
/home/bian/anaconda3/envs/sd/lib/python3.10/site-packages/datasets/load.py:1744: FutureWarning: 'ignore_verifications' was de
precated in favor of 'verification_mode' in version 2.9.1 and will be removed in 3.0.0.
You can remove this warning by passing 'verification_mode=no... | {
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https://api.github.com/repos/huggingface/datasets/issues/6057 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6057/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6057/comments | https://api.github.com/repos/huggingface/datasets/issues/6057/events | https://github.com/huggingface/datasets/issues/6057 | 1,815,100,151 | I_kwDODunzps5sMDr3 | 6,057 | Why is the speed difference of gen example so big? | {
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"Hi!\r\n\r\nIt's hard to explain this behavior without more information. Can you profile the slower version with the following code\r\n```python\r\nimport cProfile, pstats\r\nfrom datasets import load_dataset\r\n\r\nwith cProfile.Profile() as profiler:\r\n ds = load_dataset(...)\r\n\r\nstats = pstats.Stats(profi... | 2023-07-21T03:34:49Z | 2023-10-04T18:06:16Z | 2023-10-04T18:06:15Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ```python
def _generate_examples(self, metadata_path, images_dir, conditioning_images_dir):
with open(metadata_path, 'r') as file:
metadata = json.load(file)
for idx, item in enumerate(metadata):
image_path = item.get('image_path')
text_content = item.get('tex... | {
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https://api.github.com/repos/huggingface/datasets/issues/6054 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6054/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6054/comments | https://api.github.com/repos/huggingface/datasets/issues/6054/events | https://github.com/huggingface/datasets/issues/6054 | 1,813,271,304 | I_kwDODunzps5sFFMI | 6,054 | Multi-processed `Dataset.map` slows down a lot when `import torch` | {
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"A duplicate of https://github.com/huggingface/datasets/issues/5929"
] | 2023-07-20T06:36:14Z | 2023-07-21T15:19:37Z | 2023-07-21T15:19:37Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
When using `Dataset.map` with `num_proc > 1`, the speed slows down much if I add `import torch` to the start of the script even though I don't use it.
I'm not sure if it's `torch` only or if any other package that is "large" will also cause the same result.
BTW, `import lightning` also slows i... | {
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https://api.github.com/repos/huggingface/datasets/issues/6053 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6053/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6053/comments | https://api.github.com/repos/huggingface/datasets/issues/6053/events | https://github.com/huggingface/datasets/issues/6053 | 1,812,635,902 | I_kwDODunzps5sCqD- | 6,053 | Change package name from "datasets" to something less generic | {
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"This would break a lot of existing code, so we can't really do this.",
"I encountered this issue while working on a large project with 6+ years history. We have a submodule named datasets in the backend, and face a big challenge incorporating huggingface datasets into the project, especially considering django a... | 2023-07-19T19:53:28Z | 2024-11-20T21:22:36Z | 2023-10-03T16:04:09Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Feature request
I'm repeatedly finding myself in situations where I want to have a package called `datasets.py` or `evaluate.py` in my code and can't because those names are being taken up by Huggingface packages. While I can understand how (even from the user's perspective) it's aesthetically pleasing to have n... | {
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https://api.github.com/repos/huggingface/datasets/issues/6051 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6051/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6051/comments | https://api.github.com/repos/huggingface/datasets/issues/6051/events | https://github.com/huggingface/datasets/issues/6051 | 1,811,549,650 | I_kwDODunzps5r-g3S | 6,051 | Skipping shard in the remote repo and resume upload | {
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"Hi! `_select_contiguous` fetches a (zero-copy) slice of the dataset's Arrow table to build a shard, so I don't think this part is the problem. To me, the issue seems to be the step where we embed external image files' bytes (a lot of file reads). You can use `.map` with multiprocessing to perform this step before ... | 2023-07-19T09:25:26Z | 2023-07-20T18:16:01Z | 2023-07-20T18:16:00Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
For some reason when I try to resume the upload of my dataset, it is very slow to reach the index of the shard from which to resume the uploading.
From my understanding, the problem is in this part of the code:
arrow_dataset.py
```python
for index, shard in logging.tqdm(
enume... | {
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https://api.github.com/repos/huggingface/datasets/issues/6048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6048/comments | https://api.github.com/repos/huggingface/datasets/issues/6048/events | https://github.com/huggingface/datasets/issues/6048 | 1,809,629,346 | I_kwDODunzps5r3MCi | 6,048 | when i use datasets.load_dataset, i encounter the http connect error! | {
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"The `audiofolder` loader is not available in version `2.3.2`, hence the error. Please run the `pip install -U datasets` command to update the `datasets` installation to make `load_dataset(\"audiofolder\", ...)` work."
] | 2023-07-18T10:16:34Z | 2023-07-18T16:18:39Z | 2023-07-18T16:18:39Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
`common_voice_test = load_dataset("audiofolder", data_dir="./dataset/",cache_dir="./cache",split=datasets.Split.TEST)`
when i run the code above, i got the error as below:
--------------------------------------------
ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/... | {
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https://api.github.com/repos/huggingface/datasets/issues/6039 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6039/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6039/comments | https://api.github.com/repos/huggingface/datasets/issues/6039/events | https://github.com/huggingface/datasets/issues/6039 | 1,806,508,451 | I_kwDODunzps5rrSGj | 6,039 | Loading column subset from parquet file produces error since version 2.13 | {
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"completed": 0,
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} | ### Describe the bug
`load_dataset` allows loading a subset of columns from a parquet file with the `columns` argument. Since version 2.13, this produces the following error:
```
Traceback (most recent call last):
File "/usr/lib/python3.10/site-packages/datasets/builder.py", line 1879, in ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6038 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6038/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6038/comments | https://api.github.com/repos/huggingface/datasets/issues/6038/events | https://github.com/huggingface/datasets/issues/6038 | 1,805,960,244 | I_kwDODunzps5rpMQ0 | 6,038 | File "/home/zhizhou/anaconda3/envs/pytorch/lib/python3.10/site-packages/datasets/builder.py", line 992, in _download_and_prepare if str(split_generator.split_info.name).lower() == "all": AttributeError: 'str' object has no attribute 'split_info'. Did you mean: 'splitlines'? | {
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"Instead of writing the loading script, you can use the built-in loader to [load JSON files](https://huggingface.co/docs/datasets/loading#json):\r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset(\"json\", data_files={\"train\": os.path.join(data_dir[\"train\"]), \"dev\": os.path.join(data_dir[\... | 2023-07-15T07:58:08Z | 2023-07-24T11:54:15Z | 2023-07-24T11:54:15Z | NONE | null | null | {
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} | Hi, I use the code below to load local file
```
def _split_generators(self, dl_manager):
# TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
# If several configurations are possible (listed in BUILDER_CONFIGS), the configurati... | {
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https://api.github.com/repos/huggingface/datasets/issues/6037 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6037/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6037/comments | https://api.github.com/repos/huggingface/datasets/issues/6037/events | https://github.com/huggingface/datasets/issues/6037 | 1,805,887,184 | I_kwDODunzps5ro6bQ | 6,037 | Documentation links to examples are broken | {
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"These docs are outdated (version 1.2.1 is over two years old). Please refer to [this](https://huggingface.co/docs/datasets/dataset_script) version instead.\r\n\r\nInitially, we hosted datasets in this repo, but now you can find them [on the HF Hub](https://huggingface.co/datasets) (e.g. the [`ag_news`](https://hug... | 2023-07-15T04:54:50Z | 2023-07-17T22:35:14Z | 2023-07-17T15:10:32Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
The links at the bottom of [add_dataset](https://huggingface.co/docs/datasets/v1.2.1/add_dataset.html) to examples of specific datasets are all broken, for example
- text classification: [ag_news](https://github.com/huggingface/datasets/blob/master/datasets/ag_news/ag_news.py) (original data ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6034 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6034/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6034/comments | https://api.github.com/repos/huggingface/datasets/issues/6034/events | https://github.com/huggingface/datasets/issues/6034 | 1,804,501,361 | I_kwDODunzps5rjoFx | 6,034 | load_dataset hangs on WSL | {
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"Even if a dataset is cached, we still make requests to check whether the cache is up-to-date. [This](https://huggingface.co/docs/datasets/v2.13.1/en/loading#offline) section in the docs explains how to avoid them and directly load the cached version.",
"Thanks - that works! However it doesn't resolve the origina... | 2023-07-14T09:03:10Z | 2023-07-14T14:48:29Z | 2023-07-14T14:48:29Z | NONE | null | null | {
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} | ### Describe the bug
load_dataset simply hangs. It happens once every ~5 times, and interestingly hangs for a multiple of 5 minutes (hangs for 5/10/15 minutes). Using the profiler in PyCharm shows that it spends the time at <method 'connect' of '_socket.socket' objects>. However, a local cache is available so I am not... | {
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https://api.github.com/repos/huggingface/datasets/issues/6033 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6033/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6033/comments | https://api.github.com/repos/huggingface/datasets/issues/6033/events | https://github.com/huggingface/datasets/issues/6033 | 1,804,482,051 | I_kwDODunzps5rjjYD | 6,033 | `map` function doesn't fully utilize `input_columns`. | {
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"completed": 0,
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} | ### Describe the bug
I wanted to select only some columns of data.
And I thought that's why the argument `input_columns` exists.
What I expected is like this:
If there are ["a", "b", "c", "d"] columns, and if I set `input_columns=["a", "d"]`, the data will have only ["a", "d"] columns.
But it doesn't select co... | {
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https://api.github.com/repos/huggingface/datasets/issues/6031 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6031/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6031/comments | https://api.github.com/repos/huggingface/datasets/issues/6031/events | https://github.com/huggingface/datasets/issues/6031 | 1,804,183,858 | I_kwDODunzps5riaky | 6,031 | Argument type for map function changes when using `input_columns` for `IterableDataset` | {
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"Yes, this is intended."
] | 2023-07-14T05:11:14Z | 2023-07-14T14:44:15Z | 2023-07-14T14:44:15Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
I wrote `tokenize(examples)` function as an argument for `map` function for `IterableDataset`.
It process dictionary type `examples` as a parameter.
It is used in `train_dataset = train_dataset.map(tokenize, batched=True)`
No error is raised.
And then, I found some unnecessary keys and val... | {
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https://api.github.com/repos/huggingface/datasets/issues/6025 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6025/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6025/comments | https://api.github.com/repos/huggingface/datasets/issues/6025/events | https://github.com/huggingface/datasets/issues/6025 | 1,801,852,601 | I_kwDODunzps5rZha5 | 6,025 | Using a dataset for a use other than it was intended for. | {
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"I've opened a PR with a fix. In the meantime, you can avoid the error by deleting `task_templates` with `dataset.info.task_templates = None` before the `interleave_datasets` call.\r\n` "
] | 2023-07-12T22:33:17Z | 2023-07-13T13:57:36Z | 2023-07-13T13:57:36Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Hi, I want to use the rotten tomatoes dataset but for a task other than classification, but when I interleave the dataset, it throws ```'ValueError: Column label is not present in features.'```. It seems that the label_col must be there in the dataset for some reason?
Here is the full stacktra... | {
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https://api.github.com/repos/huggingface/datasets/issues/6022 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6022/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6022/comments | https://api.github.com/repos/huggingface/datasets/issues/6022/events | https://github.com/huggingface/datasets/issues/6022 | 1,800,092,589 | I_kwDODunzps5rSzut | 6,022 | Batch map raises TypeError: '>=' not supported between instances of 'NoneType' and 'int' | {
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"Thanks for reporting! I've opened a PR with a fix."
] | 2023-07-12T03:20:17Z | 2023-07-12T16:18:06Z | 2023-07-12T16:18:05Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
When mapping some datasets with `batched=True`, datasets may raise an exeception:
```python
Traceback (most recent call last):
File "/Users/codingl2k1/Work/datasets/venv/lib/python3.11/site-packages/multiprocess/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
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https://api.github.com/repos/huggingface/datasets/issues/6017 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6017/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6017/comments | https://api.github.com/repos/huggingface/datasets/issues/6017/events | https://github.com/huggingface/datasets/issues/6017 | 1,799,309,132 | I_kwDODunzps5rP0dM | 6,017 | Switch to huggingface_hub's HfFileSystem | {
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} | instead of the current datasets.filesystems.hffilesystem.HfFileSystem which can be slow in some cases
related to https://github.com/huggingface/datasets/issues/5846 and https://github.com/huggingface/datasets/pull/5919 | {
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https://api.github.com/repos/huggingface/datasets/issues/6014 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6014/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6014/comments | https://api.github.com/repos/huggingface/datasets/issues/6014/events | https://github.com/huggingface/datasets/issues/6014 | 1,798,213,816 | I_kwDODunzps5rLpC4 | 6,014 | Request to Share/Update Dataset Viewer Code | {
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"Hi ! The huggingface/dataset-viewer code was not maintained anymore because we switched to a new dataset viewer that is deployed available for each dataset the Hugging Face website.\r\n\r\nWhat are you using this old repository for ?",
"I think these parts are outdated:\r\n\r\n* https://github.com/huggingface/da... | 2023-07-11T06:36:09Z | 2024-07-20T07:29:08Z | 2023-09-25T12:01:17Z | NONE | null | null | {
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Overview:
The repository (huggingface/datasets-viewer) was recently archived and when I tried to run the code, there was the error message "AttributeError: module 'datasets.load' has no attribute 'prepare_module'". I could not resolve the issue myself due to lack of documentation of that attribute.
Request:
I k... | {
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https://api.github.com/repos/huggingface/datasets/issues/6011 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6011/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6011/comments | https://api.github.com/repos/huggingface/datasets/issues/6011/events | https://github.com/huggingface/datasets/issues/6011 | 1,795,296,568 | I_kwDODunzps5rAg04 | 6,011 | Documentation: wiki_dpr Dataset has no metric_type for Faiss Index | {
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"Hi! You can do `ds.get_index(\"embeddings\").faiss_index.metric_type` to get the metric type and then match the result with the FAISS metric [enum](https://github.com/facebookresearch/faiss/blob/43d86e30736ede853c384b24667fc3ab897d6ba9/faiss/MetricType.h#L22-L36) (should be L2).",
"Ah! Thank you for pointing thi... | 2023-07-09T08:30:19Z | 2023-07-11T03:02:36Z | 2023-07-11T03:02:36Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
After loading `wiki_dpr` using:
```py
ds = load_dataset(path='wiki_dpr', name='psgs_w100.multiset.compressed', split='train')
print(ds.get_index("embeddings").metric_type) # prints nothing because the value is None
```
the index does not have a defined `metric_type`. This is an issue because ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6008 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6008/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6008/comments | https://api.github.com/repos/huggingface/datasets/issues/6008/events | https://github.com/huggingface/datasets/issues/6008 | 1,789,869,344 | I_kwDODunzps5qrz0g | 6,008 | Dataset.from_generator consistently freezes at ~1000 rows | {
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"By default, we write data to disk (so it can be memory-mapped) every 1000 rows/samples. You can control this with the `writer_batch_size` parameter. Also, when working with fixed-size arrays, the `ArrayXD` feature types yield better performance (e.g., in your case, `features=datasets.Features({\"i\": datasets.Arra... | 2023-07-05T16:06:48Z | 2023-07-10T13:46:39Z | 2023-07-10T13:46:39Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Whenever I try to create a dataset which contains images using `Dataset.from_generator`, it freezes around 996 rows. I suppose it has something to do with memory consumption, but there's more memory available. I
Somehow it worked a few times but mostly this makes the datasets library much more ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6006 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6006/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6006/comments | https://api.github.com/repos/huggingface/datasets/issues/6006/events | https://github.com/huggingface/datasets/issues/6006 | 1,788,855,582 | I_kwDODunzps5qn8Ue | 6,006 | NotADirectoryError when loading gigawords | {
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"issue due to corrupted download files. resolved after cleaning download cache. sorry for any inconvinence."
] | 2023-07-05T06:23:41Z | 2023-07-05T06:31:02Z | 2023-07-05T06:31:01Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
got `NotADirectoryError` whtn loading gigawords dataset
### Steps to reproduce the bug
When running
```
import datasets
datasets.load_dataset('gigaword')
```
Got the following exception:
```bash
Traceback (most recent call last): ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5999 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5999/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5999/comments | https://api.github.com/repos/huggingface/datasets/issues/5999/events | https://github.com/huggingface/datasets/issues/5999 | 1,781,851,513 | I_kwDODunzps5qNOV5 | 5,999 | Getting a 409 error while loading xglue dataset | {
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"Thanks for reporting, @Praful932.\r\n\r\nLet's continue the conversation on the Hub: https://huggingface.co/datasets/xglue/discussions/5"
] | 2023-06-30T04:13:54Z | 2023-06-30T05:57:23Z | 2023-06-30T05:57:22Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Unable to load xglue dataset
### Steps to reproduce the bug
```python
import datasets
dataset = datasets.load_dataset("xglue", "ntg")
```
> ConnectionError: Couldn't reach https://xglue.blob.core.windows.net/xglue/xglue_full_dataset.tar.gz (error 409)
### Expected behavior
Expected the... | {
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https://api.github.com/repos/huggingface/datasets/issues/5998 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5998/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5998/comments | https://api.github.com/repos/huggingface/datasets/issues/5998/events | https://github.com/huggingface/datasets/issues/5998 | 1,781,805,018 | I_kwDODunzps5qNC_a | 5,998 | The current implementation has a potential bug in the sort method | {
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"Thanks for reporting, @wangyuxinwhy. "
] | 2023-06-30T03:16:57Z | 2023-06-30T14:21:03Z | 2023-06-30T14:11:25Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
In the sort method，here's a piece of code
```python
# column_names: Union[str, Sequence_[str]]
# Check proper format of and for duplicates in column_names
if not isinstance(column_names, list):
column_names = [column_names]
```
I get an error when I pass in a tuple based on the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5993 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5993/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5993/comments | https://api.github.com/repos/huggingface/datasets/issues/5993/events | https://github.com/huggingface/datasets/issues/5993 | 1,776,643,555 | I_kwDODunzps5p5W3j | 5,993 | ValueError: Table schema does not match schema used to create file | {
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"We'll do a new release of `datasets` soon to make the fix available :)\r\n\r\nIn the meantime you can use `datasets` from source (main)",
"Thank you very much @lhoestq ! 🚀 "
] | 2023-06-27T10:54:07Z | 2023-06-27T15:36:42Z | 2023-06-27T15:32:44Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Saving a dataset as parquet fails with a `ValueError: Table schema does not match schema used to create file` if the dataset was obtained out of a `.select_columns()` call with columns selected out of order.
### Steps to reproduce the bug
```python
import datasets
dataset = datasets.Dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/5988 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5988/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5988/comments | https://api.github.com/repos/huggingface/datasets/issues/5988/events | https://github.com/huggingface/datasets/issues/5988 | 1,773,257,828 | I_kwDODunzps5pscRk | 5,988 | ConnectionError: Couldn't reach dataset_infos.json | {
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"Unfortunately, I can't reproduce the error. What does the following code return for you?\r\n```python\r\nimport requests\r\nfrom huggingface_hub import hf_hub_url\r\nr = requests.get(hf_hub_url(\"codeparrot/codeparrot-clean-train\", \"dataset_infos.json\", repo_type=\"dataset\"))\r\n```\r\n\r\nAlso, can you provid... | 2023-06-25T12:39:31Z | 2023-07-07T13:20:57Z | 2023-07-07T13:20:57Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I'm trying to load codeparrot/codeparrot-clean-train, but get the following error:
ConnectionError: Couldn't reach https://huggingface.co/datasets/codeparrot/codeparrot-clean-train/resolve/main/dataset_infos.json (ConnectionError(ProtocolError('Connection aborted.', ConnectionResetError(104, 'C... | {
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https://api.github.com/repos/huggingface/datasets/issues/5987 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5987/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5987/comments | https://api.github.com/repos/huggingface/datasets/issues/5987/events | https://github.com/huggingface/datasets/issues/5987 | 1,773,047,909 | I_kwDODunzps5prpBl | 5,987 | Why max_shard_size is not supported in load_dataset and passed to download_and_prepare | {
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"Can you explain your use case for `max_shard_size`? \r\n\r\nOn some systems, there is a limit to the size of a memory-mapped file, so we could consider exposing this parameter in `load_dataset`.",
"In my use case, users may choose a proper size to balance the cost and benefit of using large shard size. (On azure... | 2023-06-25T04:19:13Z | 2023-06-29T16:06:08Z | 2023-06-29T16:06:08Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | ### Describe the bug
https://github.com/huggingface/datasets/blob/a8a797cc92e860c8d0df71e0aa826f4d2690713e/src/datasets/load.py#L1809
What I can to is break the `load_dataset` and use `load_datset_builder` + `download_and_prepare` instead.
### Steps to reproduce the bug
https://github.com/huggingface/datasets/blo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5985 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5985/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5985/comments | https://api.github.com/repos/huggingface/datasets/issues/5985/events | https://github.com/huggingface/datasets/issues/5985 | 1,771,588,158 | I_kwDODunzps5pmEo- | 5,985 | Cannot reuse tokenizer object for dataset map | {
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"This is a known issue: https://github.com/huggingface/datasets/issues/3847.\r\n\r\nFixing this requires significant work - rewriting the `tokenizers` lib to make them immutable.\r\n\r\nThe current solution is to pass `cache_file_name` to `map` to use that file for caching or calling a tokenizer before `map` (with ... | 2023-06-23T14:45:31Z | 2023-07-21T14:09:14Z | 2023-07-21T14:09:14Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Related to https://github.com/huggingface/transformers/issues/24441. Not sure if this is a tokenizer issue or caching issue, so filing in both.
Passing the tokenizer to the dataset map function causes the tokenizer to be fingerprinted weirdly. After calling the tokenizer with arguments like pad... | {
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https://api.github.com/repos/huggingface/datasets/issues/5982 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5982/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5982/comments | https://api.github.com/repos/huggingface/datasets/issues/5982/events | https://github.com/huggingface/datasets/issues/5982 | 1,770,333,296 | I_kwDODunzps5phSRw | 5,982 | 404 on Datasets Documentation Page | {
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"This wasn’t working for me a bit earlier, but it looks to be back up now",
"We had a minor issue updating the docs after the latest release. It should work now :)."
] | 2023-06-22T20:14:57Z | 2023-06-26T15:45:03Z | 2023-06-26T15:45:03Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Getting a 404 from the Hugging Face Datasets docs page:
https://huggingface.co/docs/datasets/index
### Steps to reproduce the bug
1. Go to URL https://huggingface.co/docs/datasets/index
2. Notice 404 not found
### Expected behavior
URL should either show docs or redirect to new location
#... | {
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https://api.github.com/repos/huggingface/datasets/issues/5981 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5981/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5981/comments | https://api.github.com/repos/huggingface/datasets/issues/5981/events | https://github.com/huggingface/datasets/issues/5981 | 1,770,310,087 | I_kwDODunzps5phMnH | 5,981 | Only two cores are getting used in sagemaker with pytorch 3.10 kernel | {
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"I think it's more likely that this issue is related to PyTorch than Datasets, as PyTorch (on import) registers functions to execute when forking a process. Maybe this is the culprit: https://github.com/pytorch/pytorch/issues/99625",
"From reading that ticket, it may be down in mkl? Is it worth hotfixing in the ... | 2023-06-22T19:57:31Z | 2023-10-30T06:17:40Z | 2023-07-24T11:54:52Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
When using the newer pytorch 3.10 kernel, only 2 cores are being used by huggingface filter and map functions. The Pytorch 3.9 kernel would use as many cores as specified in the num_proc field.
We have solved this in our own code by placing the following snippet in the code that is called insi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5980 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5980/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5980/comments | https://api.github.com/repos/huggingface/datasets/issues/5980/events | https://github.com/huggingface/datasets/issues/5980 | 1,770,255,973 | I_kwDODunzps5pg_Zl | 5,980 | Viewing dataset card returns “502 Bad Gateway” | {
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"Can you try again? Maybe there was a minor outage.",
"Yes, it seems to be working now. In case it's helpful, the outage lasted several days. It was failing as late as yesterday morning. ",
"we fixed something on the server side, glad it's fixed now"
] | 2023-06-22T19:14:48Z | 2023-06-27T08:38:19Z | 2023-06-26T14:42:45Z | NONE | null | null | {
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} | The url is: https://huggingface.co/datasets/Confirm-Labs/pile_ngrams_trigrams
I am able to successfully view the “Files and versions” tab: [Confirm-Labs/pile_ngrams_trigrams at main](https://huggingface.co/datasets/Confirm-Labs/pile_ngrams_trigrams/tree/main)
Any help would be appreciated! Thanks! I hope this is ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5975 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5975/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5975/comments | https://api.github.com/repos/huggingface/datasets/issues/5975/events | https://github.com/huggingface/datasets/issues/5975 | 1,768,271,343 | I_kwDODunzps5pZa3v | 5,975 | Streaming Dataset behind Proxy - FileNotFoundError | {
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"Duplicate of #",
"Hi ! can you try to set the upper case environment variables `HTTP_PROXY` and `HTTPS_PROXY` ?\r\n\r\nWe use `aiohttp` for streaming and it uses case sensitive environment variables",
"Hi, thanks for the quick reply.\r\n\r\nI set the uppercase env variables with\r\n\r\n`\r\nos.environ['HTTP_PR... | 2023-06-21T19:10:02Z | 2023-06-30T05:55:39Z | 2023-06-30T05:55:38Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
When trying to stream a dataset i get the following error after a few minutes of waiting.
```
FileNotFoundError: https://huggingface.co/datasets/facebook/voxpopuli/resolve/main/data/n_files.json
If the repo is private or gated, make sure to log in with `huggingface-cli login`.
```
I hav... | {
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https://api.github.com/repos/huggingface/datasets/issues/5968 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5968/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5968/comments | https://api.github.com/repos/huggingface/datasets/issues/5968/events | https://github.com/huggingface/datasets/issues/5968 | 1,765,252,561 | I_kwDODunzps5pN53R | 5,968 | Common Voice datasets still need `use_auth_token=True` | {
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"cc @pcuenca as well. \r\n\r\nNot super urgent btw",
"The issue commes from the dataset itself and is not related to the `datasets` lib\r\n\r\nsee https://huggingface.co/datasets/mozilla-foundation/common_voice_6_1/blob/2c475b3b88e0f2e5828f830a4b91618a25ff20b7/common_voice_6_1.py#L148-L152",
"Let's remove these... | 2023-06-20T11:58:37Z | 2023-07-29T16:08:59Z | 2023-07-29T16:08:58Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | ### Describe the bug
We don't need to pass `use_auth_token=True` anymore to download gated datasets or models, so the following should work if correctly logged in.
```py
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_6_1", "tr", split="train+validation")
```
However it throw... | {
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https://api.github.com/repos/huggingface/datasets/issues/5965 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5965/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5965/comments | https://api.github.com/repos/huggingface/datasets/issues/5965/events | https://github.com/huggingface/datasets/issues/5965 | 1,763,648,540 | I_kwDODunzps5pHyQc | 5,965 | "Couldn't cast array of type" in complex datasets | {
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"Thanks for reporting! \r\n\r\nSpecifying the target features explicitly should avoid this error:\r\n```python\r\ndataset = dataset.map(\r\n batch_process,\r\n batched=True,\r\n batch_size=1,\r\n num_proc=1,\r\n remove_columns=dataset.column_names,\r\n features=datasets.Features({\"texts\": datase... | 2023-06-19T14:16:14Z | 2023-07-26T15:13:53Z | 2023-07-26T15:13:53Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
When doing a map of a dataset with complex types, sometimes `datasets` is unable to interpret the valid schema of a returned datasets.map() function. This often comes from conflicting types, like when both empty lists and filled lists are competing for the same field value.
This is prone to hap... | {
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https://api.github.com/repos/huggingface/datasets/issues/5963 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5963/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5963/comments | https://api.github.com/repos/huggingface/datasets/issues/5963/events | https://github.com/huggingface/datasets/issues/5963 | 1,762,774,457 | I_kwDODunzps5pEc25 | 5,963 | Got an error _pickle.PicklingError use Dataset.from_spark. | {
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"i got error using method from_spark when using multi-node Spark cluster. seems could only use \"from_spark\" in local?",
"@lhoestq ",
"cc @maddiedawson it looks like there an issue with `_validate_cache_dir` ?\r\n\r\nIt looks like the function passed to mapPartitions has a reference to the Spark dataset build... | 2023-06-19T05:30:35Z | 2023-07-24T11:55:46Z | 2023-07-24T11:55:46Z | NONE | null | null | {
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} | python 3.9.2
Got an error _pickle.PicklingError use Dataset.from_spark.
Did the dataset import load data from spark dataframe using multi-node Spark cluster
df = spark.read.parquet(args.input_data).repartition(50)
ds = Dataset.from_spark(df, keep_in_memory=True,
cache_dir="... | {
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https://api.github.com/repos/huggingface/datasets/issues/5959 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5959/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5959/comments | https://api.github.com/repos/huggingface/datasets/issues/5959/events | https://github.com/huggingface/datasets/issues/5959 | 1,757,397,507 | I_kwDODunzps5ov8ID | 5,959 | read metric glue.py from local file | {
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"Sorry, I solve this by call `evaluate.load('glue_metric.py','sst-2')`\r\n"
] | 2023-06-14T17:59:35Z | 2023-06-14T18:04:16Z | 2023-06-14T18:04:16Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Currently, The server is off-line. I am using the glue metric from the local file downloaded from the hub.
I download / cached datasets using `load_dataset('glue','sst2', cache_dir='/xxx')` to cache them and then in the off-line mode, I use `load_dataset('xxx/glue.py','sst2', cache_dir='/xxx'... | {
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https://api.github.com/repos/huggingface/datasets/issues/5955 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5955/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5955/comments | https://api.github.com/repos/huggingface/datasets/issues/5955/events | https://github.com/huggingface/datasets/issues/5955 | 1,756,827,133 | I_kwDODunzps5otw39 | 5,955 | Strange bug in loading local JSON files, using load_dataset | {
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"This is the actual error:\r\n```\r\nFailed to read file '/home/lakala/hjc/code/pycode/glm/temp.json' with error <class 'pyarrow.lib.ArrowInvalid'>: cannot mix list and non-list, non-null values\r\n```\r\nWhich means some samples are incorrectly formatted.\r\n\r\nPyArrow, a storage backend that we use under the hoo... | 2023-06-14T12:46:00Z | 2023-06-21T14:42:15Z | 2023-06-21T14:42:15Z | NONE | null | null | {
"completed": 0,
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"total": 0
} | ### Describe the bug
I am using 'load_dataset 'loads a JSON file, but I found a strange bug: an error will be reported when the length of the JSON file exceeds 160000 (uncertain exact number). I have checked the data through the following code and there are no issues. So I cannot determine the true reason for this err... | {
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https://api.github.com/repos/huggingface/datasets/issues/5953 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5953/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5953/comments | https://api.github.com/repos/huggingface/datasets/issues/5953/events | https://github.com/huggingface/datasets/issues/5953 | 1,756,520,523 | I_kwDODunzps5osmBL | 5,953 | Bad error message when trying to download gated dataset | {
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"cc @sanchit-gandhi @Vaibhavs10 @lhoestq - this is mainly for demos that use Common Voice datasets as done here: https://github.com/facebookresearch/fairseq/tree/main/examples/mms#-transformers\r\n",
"Hi ! the error for me is\r\n\r\n```\r\nFileNotFoundError: Couldn't find a dataset script at /content/mozilla-foun... | 2023-06-14T10:03:39Z | 2023-06-14T16:36:51Z | 2023-06-14T12:26:32Z | CONTRIBUTOR | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
When I attempt to download a model from the Hub that is gated without being logged in, I get a nice error message. E.g.:
E.g.
```sh
Repository Not Found for url: https://huggingface.co/api/models/DeepFloyd/IF-I-XL-v1.0.
Please make sure you specified the correct `repo_id` and `repo_type`.
I... | {
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https://api.github.com/repos/huggingface/datasets/issues/5951 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5951/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5951/comments | https://api.github.com/repos/huggingface/datasets/issues/5951/events | https://github.com/huggingface/datasets/issues/5951 | 1,756,363,546 | I_kwDODunzps5or_sa | 5,951 | What is the Right way to use discofuse dataset?? | {
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"Thanks for opening https://huggingface.co/datasets/discofuse/discussions/3, let's continue the discussion over there if you don't mind",
"I have posted there also sir, please check\r\n@lhoestq"
] | 2023-06-14T08:38:39Z | 2023-06-14T13:25:06Z | 2023-06-14T12:10:16Z | NONE | null | null | {
"completed": 0,
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} | [Click here for Dataset link](https://huggingface.co/datasets/discofuse/viewer/discofuse-wikipedia/train?row=6)
**Below is the following way, as per my understanding , Is it correct :question: :question:**
The **columns/features from `DiscoFuse dataset`** that will be the **input to the `encoder` and `decoder`** ar... | {
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https://api.github.com/repos/huggingface/datasets/issues/5945 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5945/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5945/comments | https://api.github.com/repos/huggingface/datasets/issues/5945/events | https://github.com/huggingface/datasets/issues/5945 | 1,754,084,577 | I_kwDODunzps5ojTTh | 5,945 | Failing to upload dataset to the hub | {
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"Hi ! Feel free to re-run your code later, it will resume automatically where you left",
"Tried many times in the last 2 weeks, problem remains.",
"Alternatively you can save your dataset in parquet files locally and upload them to the hub manually\r\n\r\n```python\r\nfrom tqdm import tqdm\r\nnum_shards = 60\r\... | 2023-06-13T05:46:46Z | 2023-07-24T11:56:40Z | 2023-07-24T11:56:40Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
Trying to upload a dataset of hundreds of thousands of audio samples (the total volume is not very large, 60 gb) to the hub with push_to_hub, it doesn't work.
From time to time one piece of the data (parquet) gets pushed and then I get RemoteDisconnected even though my internet is stable.
Please... | {
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https://api.github.com/repos/huggingface/datasets/issues/5941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5941/comments | https://api.github.com/repos/huggingface/datasets/issues/5941/events | https://github.com/huggingface/datasets/issues/5941 | 1,751,838,897 | I_kwDODunzps5oavCx | 5,941 | Load Data Sets Too Slow In Train Seq2seq Model | {
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"Hi ! you can speed it up using multiprocessing by passing `num_proc=` to `load_dataset()`",
"already did，but not useful for step Generating train split，it works in step \"Resolving data files\" & \"Downloading data files\" ",
"@mariosasko some advice ， thanks！",
"I met the same problem, terrible experience... | 2023-06-12T03:58:43Z | 2023-08-15T02:52:22Z | 2023-08-15T02:52:22Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | {
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https://api.github.com/repos/huggingface/datasets/issues/5939 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5939/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5939/comments | https://api.github.com/repos/huggingface/datasets/issues/5939/events | https://github.com/huggingface/datasets/issues/5939 | 1,749,955,883 | I_kwDODunzps5oTjUr | 5,939 | . | {
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https://api.github.com/repos/huggingface/datasets/issues/5936 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5936/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5936/comments | https://api.github.com/repos/huggingface/datasets/issues/5936/events | https://github.com/huggingface/datasets/issues/5936 | 1,748,424,388 | I_kwDODunzps5oNtbE | 5,936 | Sequence of array not supported for most dtype | {
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"Related, `float16` is the only dtype not supported by `Array2D` (probably by every `ArrayND`):\r\n\r\n```python\r\nfrom datasets import Array2D, Features, Dataset\r\n\r\nimport numpy as np\r\n\r\nfor dtype in [\r\n \"bool\", # ok\r\n \"int8\", # ok\r\n \"int16\", # ok\r\n \"int32\", # ok\r\n \"i... | 2023-06-08T18:18:07Z | 2023-06-14T15:03:34Z | 2023-06-14T15:03:34Z | MEMBER | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
Create a dataset composed of sequence of array fails for most dtypes (see code below).
### Steps to reproduce the bug
```python
from datasets import Sequence, Array2D, Features, Dataset
import numpy as np
for dtype in [
"bool", # ok
"int8", # failed
"int16", # failed
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5931 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5931/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5931/comments | https://api.github.com/repos/huggingface/datasets/issues/5931/events | https://github.com/huggingface/datasets/issues/5931 | 1,745,408,784 | I_kwDODunzps5oCNMQ | 5,931 | `datasets.map` not reusing cached copy by default | {
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"This can happen when a map transform cannot be hashed deterministically (e.g., an object referenced by the transform changes its state after the first call - an issue with fast tokenizers). The solution is to provide `cache_file_name` in the `map` call to check this file for the cached result instead of relying on... | 2023-06-07T09:03:33Z | 2023-06-21T16:15:40Z | 2023-06-21T16:15:40Z | CONTRIBUTOR | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
When I load the dataset from local directory, it's cached copy is picked up after first time. However, for `map` operation, the operation is applied again and cached copy is not picked up. Is there any way to pick cached copy instead of processing it again? The only solution I could think of was... | {
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https://api.github.com/repos/huggingface/datasets/issues/5930 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5930/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5930/comments | https://api.github.com/repos/huggingface/datasets/issues/5930/events | https://github.com/huggingface/datasets/issues/5930 | 1,745,184,395 | I_kwDODunzps5oBWaL | 5,930 | loading private custom dataset script - authentication error | {
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"This issue seems to have been resolved, so I'm closing it."
] | 2023-06-07T06:58:23Z | 2023-06-15T14:49:21Z | 2023-06-15T14:49:20Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Train model with my custom dataset stored in HuggingFace and loaded with the loading script requires authentication but I am not sure how ?
I am logged in in the terminal, in the browser. I receive this error:
/python3.8/site-packages/datasets/utils/file_utils.py", line 566, in get_from... | {
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https://api.github.com/repos/huggingface/datasets/issues/5929 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5929/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5929/comments | https://api.github.com/repos/huggingface/datasets/issues/5929/events | https://github.com/huggingface/datasets/issues/5929 | 1,744,478,456 | I_kwDODunzps5n-qD4 | 5,929 | Importing PyTorch reduces multiprocessing performance for map | {
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"Hi! The times match when I run this code locally or on Colab.\r\n\r\nAlso, we use `multiprocess`, not `multiprocessing`, for parallelization, and torch's `__init__.py` (executed on `import torch` ) slightly modifies the latter.",
"Hey Mariosasko,\r\n\r\nThanks for looking into it. We further did some investigati... | 2023-06-06T19:42:25Z | 2023-06-16T13:09:12Z | 2023-06-16T13:09:12Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I noticed that the performance of my dataset preprocessing with `map(...,num_proc=32)` decreases when PyTorch is imported.
### Steps to reproduce the bug
I created two example scripts to reproduce this behavior:
```
import datasets
datasets.disable_caching()
from datasets import Da... | {
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https://api.github.com/repos/huggingface/datasets/issues/5927 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5927/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5927/comments | https://api.github.com/repos/huggingface/datasets/issues/5927/events | https://github.com/huggingface/datasets/issues/5927 | 1,744,009,032 | I_kwDODunzps5n83dI | 5,927 | `IndexError` when indexing `Sequence` of `Array2D` with `None` values | {
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"Easy fix would be to add:\r\n\r\n```python\r\nnull_indices -= np.arange(len(null_indices))\r\n```\r\n\r\nbefore L279, but I'm not sure it's the most intuitive way to fix it.",
"Same issue here:\r\n\r\nhttps://github.com/huggingface/datasets/blob/7fcbe5b1575c8d162b65b9397b3dfda995a4e048/src/datasets/features/feat... | 2023-06-06T14:36:22Z | 2023-06-13T12:39:39Z | 2023-06-09T13:23:50Z | MEMBER | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
Having `None` values in a `Sequence` of `ArrayND` fails.
### Steps to reproduce the bug
```python
from datasets import Array2D, Dataset, Features, Sequence
data = [
[
[[0]],
None,
None,
]
]
feature = Sequence(Array2D((1, 1), dtype="int64"))
dataset =... | {
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https://api.github.com/repos/huggingface/datasets/issues/5925 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5925/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5925/comments | https://api.github.com/repos/huggingface/datasets/issues/5925/events | https://github.com/huggingface/datasets/issues/5925 | 1,741,941,436 | I_kwDODunzps5n0-q8 | 5,925 | Breaking API change in datasets.list_datasets caused by change in HfApi.list_datasets | {
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"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
Hi all,
after an update of the `datasets` library, we observer crashes in our code. We relied on `datasets.list_datasets` returning a `list`. Now, after the API of the HfApi.list_datasets was changed and it returns a `list` instead of an `Iterable`, the `datasets.list_datasets` now sometimes re... | {
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https://api.github.com/repos/huggingface/datasets/issues/5923 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5923/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5923/comments | https://api.github.com/repos/huggingface/datasets/issues/5923/events | https://github.com/huggingface/datasets/issues/5923 | 1,737,436,227 | I_kwDODunzps5njyxD | 5,923 | Cannot import datasets - ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility | {
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"Based on https://github.com/rapidsai/cudf/issues/10187, this probably means your `pyarrow` installation is not compatible with `datasets`.\r\n\r\nCan you please execute the following commands in the terminal and paste the output here?\r\n```\r\nconda list | grep arrow\r\n``` \r\n```\r\npython -c \"import pyarrow; ... | 2023-06-02T04:16:32Z | 2024-06-27T10:07:49Z | 2024-02-25T16:38:03Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
When trying to import datasets, I get a pyarrow ValueError:
Traceback (most recent call last):
File "/Users/edward/test/test.py", line 1, in <module>
import datasets
File "/Users/edward/opt/anaconda3/envs/cs235/lib/python3.9/site-packages/datasets/__init__.py", line 43, in <module>... | {
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https://api.github.com/repos/huggingface/datasets/issues/5922 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5922/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5922/comments | https://api.github.com/repos/huggingface/datasets/issues/5922/events | https://github.com/huggingface/datasets/issues/5922 | 1,736,898,953 | I_kwDODunzps5nhvmJ | 5,922 | Length of table does not accurately reflect the split | {
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"As already replied by @lhoestq (private channel):\r\n> `.train_test_split` (as well as `.shard`, `.select`) doesn't create a new arrow table to save time and disk space. Instead, it uses an indices mapping on top of the table that locate which examples are part of train or test.",
"This is an optimization that w... | 2023-06-01T18:56:26Z | 2023-06-02T16:13:31Z | 2023-06-02T16:13:31Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
I load a Huggingface Dataset and do `train_test_split`. I'm expecting the underlying table for the dataset to also be split, but it's not.
### Steps to reproduce the bug
### Expected behavior... | {
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https://api.github.com/repos/huggingface/datasets/issues/5913 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5913/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5913/comments | https://api.github.com/repos/huggingface/datasets/issues/5913/events | https://github.com/huggingface/datasets/issues/5913 | 1,731,427,484 | I_kwDODunzps5nM3yc | 5,913 | I tried to load a custom dataset using the following statement: dataset = load_dataset('json', data_files=data_files). The dataset contains 50 million text-image pairs, but an error occurred. | {
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"Thanks for reporting, @cjt222.\r\n\r\nWhat is the structure of your JSON files. Please note that it is normally simpler if the data file format is JSON-Lines instead. ",
"> Thanks for reporting, @cjt222.\r\n> \r\n> What is the structure of your JSON files. Please note that it is normally simpler if the data file... | 2023-05-30T02:55:26Z | 2023-07-24T12:00:38Z | 2023-07-24T12:00:38Z | NONE | null | null | {
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} | ### Describe the bug
File "/home/kas/.conda/envs/diffusers/lib/python3.7/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
Downloading and preparing dataset json/default to /home/kas/diffusers/examples/dreambooth/cache_data/datasets/json/default-acf423d8c6ef99d0/0.0.0/e347ab1c932092252e717ff3f94... | {
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https://api.github.com/repos/huggingface/datasets/issues/5912 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5912/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5912/comments | https://api.github.com/repos/huggingface/datasets/issues/5912/events | https://github.com/huggingface/datasets/issues/5912 | 1,730,299,852 | I_kwDODunzps5nIkfM | 5,912 | Missing elements in `map` a batched dataset | {
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"Hi ! in your code batching is **only used within** `map`, to process examples in batch. The dataset itself however is not batched and returns elements one by one.\r\n\r\nTo iterate on batches, you can do\r\n```python\r\nfor batch in dataset.iter(batch_size=8):\r\n ...\r\n```"
] | 2023-05-29T08:09:19Z | 2023-07-26T15:48:15Z | 2023-07-26T15:48:15Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
As outlined [here](https://discuss.huggingface.co/t/length-error-using-map-with-datasets/40969/3?u=sachin), the following collate function drops 5 out of possible 6 elements in the batch (it is 6 because out of the eight, two are bad links in laion). A reproducible [kaggle kernel ](https://www.kag... | {
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https://api.github.com/repos/huggingface/datasets/issues/5910 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5910/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5910/comments | https://api.github.com/repos/huggingface/datasets/issues/5910/events | https://github.com/huggingface/datasets/issues/5910 | 1,728,909,790 | I_kwDODunzps5nDRHe | 5,910 | Cannot use both set_format and set_transform | {
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"Currently, it's not possible to chain `set_format`/`set_transform` calls (plus, this is a breaking change if we decide to implement it), so I see two possible solutions:\r\n* using `set_format`/`set_transform` for the 1st transform and then passing the transformed example/batch to the 2nd transform\r\n* implementi... | 2023-05-27T19:22:23Z | 2023-07-09T21:40:54Z | 2023-06-16T14:41:24Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
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} | ### Describe the bug
I need to process some data using the set_transform method but I also need the data to be formatted for pytorch before processing it.
I don't see anywhere in the documentation something that says that both methods cannot be used at the same time.
### Steps to reproduce the bug
```
from... | {
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https://api.github.com/repos/huggingface/datasets/issues/5906 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5906/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5906/comments | https://api.github.com/repos/huggingface/datasets/issues/5906/events | https://github.com/huggingface/datasets/issues/5906 | 1,728,171,113 | I_kwDODunzps5nAcxp | 5,906 | Could you unpin responses version? | {
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"completed": 0,
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} | ### Describe the bug
Could you unpin [this](https://github.com/huggingface/datasets/blob/main/setup.py#L139) or move it to test requirements? This is a testing library and we also use it for our tests as well. We do not want to use a very outdated version.
### Steps to reproduce the bug
could not install this librar... | {
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https://api.github.com/repos/huggingface/datasets/issues/5898 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5898/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5898/comments | https://api.github.com/repos/huggingface/datasets/issues/5898/events | https://github.com/huggingface/datasets/issues/5898 | 1,726,190,481 | I_kwDODunzps5m45OR | 5,898 | Loading The flores data set for specific language | {
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"got that the syntax is like this\r\n\r\ndataset = load_dataset(\"facebook/flores\", \"ace_Arab\")"
] | 2023-05-25T17:08:55Z | 2023-05-25T17:21:38Z | 2023-05-25T17:21:37Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
I am trying to load the Flores data set
the code which is given is
```
from datasets import load_dataset
dataset = load_dataset("facebook/flores")
```
This gives the error of config name
""ValueError: Config name is missing"
Now if I add some config it gives me the some error
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5896 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5896/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5896/comments | https://api.github.com/repos/huggingface/datasets/issues/5896/events | https://github.com/huggingface/datasets/issues/5896 | 1,726,022,500 | I_kwDODunzps5m4QNk | 5,896 | HuggingFace does not cache downloaded files aggressively/early enough | {
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"I also faced this. Any update?",
"We've dropped the `apache-beam` dependency in https://huggingface.co/datasets/wikipedia/discussions/19, so you should no longer get this error."
] | 2023-05-25T15:14:36Z | 2024-03-15T15:36:07Z | 2024-03-15T15:36:07Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
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} | ### Describe the bug
I wrote the following script:
```
import datasets
dataset = datasets.load.load_dataset("wikipedia", "20220301.en", split="train[:10000]")
```
I ran it and spent 90 minutes downloading a 20GB file. Then I saw:
```
Downloading: 100%|████████████████████████████████████████████████████... | {
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https://api.github.com/repos/huggingface/datasets/issues/5895 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5895/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5895/comments | https://api.github.com/repos/huggingface/datasets/issues/5895/events | https://github.com/huggingface/datasets/issues/5895 | 1,725,467,252 | I_kwDODunzps5m2Ip0 | 5,895 | The dir name and split strings are confused when loading ArmelR/stack-exchange-instruction dataset | {
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"Thanks for reporting, @DongHande.\r\n\r\nI think the issue is caused by the metadata in the dataset card: in the header of the `README.md`, they state that the dataset has 4 splits (\"finetune\", \"reward\", \"rl\", \"evaluation\"). \r\n```yaml\r\n splits:\r\n - name: finetune\r\n num_bytes: 6674567576\r\... | 2023-05-25T09:39:06Z | 2023-05-29T02:32:12Z | 2023-05-29T02:32:12Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
When I load the ArmelR/stack-exchange-instruction dataset, I encounter a bug that may be raised by confusing the dir name string and the split string about the dataset.
When I use the script "datasets.load_dataset('ArmelR/stack-exchange-instruction', data_dir="data/finetune", split="train", ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5892 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5892/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5892/comments | https://api.github.com/repos/huggingface/datasets/issues/5892/events | https://github.com/huggingface/datasets/issues/5892 | 1,722,503,824 | I_kwDODunzps5mq1KQ | 5,892 | User access requests with manual review do not notify the dataset owner | {
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"cc @SBrandeis",
"I think this has been addressed.\r\n\r\nPlease open a new issue if you are still not getting notified."
] | 2023-05-23T17:27:46Z | 2023-07-21T13:55:37Z | 2023-07-21T13:55:36Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | ### Describe the bug
When a user access requests are enabled, and new requests are set to Manual Review, the dataset owner should be notified of the pending requests. However, instead, currently nothing happens, and so the dataset request can go unanswered for quite some time until the owner happens to check that part... | {
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https://api.github.com/repos/huggingface/datasets/issues/5887 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5887/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5887/comments | https://api.github.com/repos/huggingface/datasets/issues/5887/events | https://github.com/huggingface/datasets/issues/5887 | 1,722,166,382 | I_kwDODunzps5mpixu | 5,887 | HuggingsFace dataset example give error | {
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"Nice catch @donhuvy, that's because some models don't need the `token_type_ids`, as in this case, as the example is using `distilbert-base-cased`, and according to the DistilBert documentation at https://huggingface.co/transformers/v3.0.2/model_doc/distilbert.html, `DistilBert doesn’t have token_type_ids, you don’... | 2023-05-23T14:09:05Z | 2023-07-25T14:01:01Z | 2023-07-25T14:01:00Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
### Steps to reproduce the bug
Use link as reference document written https://c... | {
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https://api.github.com/repos/huggingface/datasets/issues/5884 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5884/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5884/comments | https://api.github.com/repos/huggingface/datasets/issues/5884/events | https://github.com/huggingface/datasets/issues/5884 | 1,719,548,172 | I_kwDODunzps5mfjkM | 5,884 | `Dataset.to_tf_dataset` fails when strings cannot be encoded as `np.bytes_` | {
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"May eventually be solved in #5883 ",
"#self-assign"
] | 2023-05-22T12:03:06Z | 2023-06-09T16:04:56Z | 2023-06-09T16:04:55Z | MEMBER | null | null | {
"completed": 0,
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} | ### Describe the bug
When loading any dataset that contains a column with strings that are not ASCII-compatible, looping over those records raises the following exception e.g. for `é` character `UnicodeEncodeError: 'ascii' codec can't encode character '\xe9' in position 0: ordinal not in range(128)`.
### Steps to rep... | {
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https://api.github.com/repos/huggingface/datasets/issues/5876 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5876/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5876/comments | https://api.github.com/repos/huggingface/datasets/issues/5876/events | https://github.com/huggingface/datasets/issues/5876 | 1,717,978,985 | I_kwDODunzps5mZkdp | 5,876 | Incompatibility with DataLab | {
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"Indeed, `clobber=True` (with a warning if the existing protocol will be overwritten) should fix the issue, but maybe a better solution is to register our compression filesystem before the script is executed and unregister them afterward. WDYT @lhoestq @albertvillanova?",
"I think we should use clobber and show a... | 2023-05-20T01:39:11Z | 2023-05-25T06:42:34Z | 2023-05-25T06:42:34Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Hello,
I am currently working on a project where both [DataLab](https://github.com/ExpressAI/DataLab) and [datasets](https://github.com/huggingface/datasets) are subdependencies.
I noticed that I cannot import both libraries, as they both register FileSystems in `fsspec`, expecting the FileSyste... | {
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https://api.github.com/repos/huggingface/datasets/issues/5875 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5875/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5875/comments | https://api.github.com/repos/huggingface/datasets/issues/5875/events | https://github.com/huggingface/datasets/issues/5875 | 1,716,770,394 | I_kwDODunzps5mU9Za | 5,875 | Why split slicing doesn't behave like list slicing ? | {
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"A duplicate of https://github.com/huggingface/datasets/issues/1774"
] | 2023-05-19T07:21:10Z | 2024-01-31T15:54:18Z | 2024-01-31T15:54:18Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
If I want to get the first 10 samples of my dataset, I can do :
```
ds = datasets.load_dataset('mnist', split='train[:10]')
```
But if I exceed the number of samples in the dataset, an exception is raised :
```
ds = datasets.load_dataset('mnist', split='train[:999999999]')
```
> V... | {
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https://api.github.com/repos/huggingface/datasets/issues/5874 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5874/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5874/comments | https://api.github.com/repos/huggingface/datasets/issues/5874/events | https://github.com/huggingface/datasets/issues/5874 | 1,715,708,930 | I_kwDODunzps5mQ6QC | 5,874 | Using as_dataset on a "parquet" builder | {
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"Hi! You can refer to [this doc](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) to see the intended usage (basically, it skips the Arrow -> Parquet conversion step in `ds = load_dataset(...); ds.to_parquet(\"path/to/parquet\")`) and allows writing P... | 2023-05-18T14:09:03Z | 2023-05-31T13:23:55Z | 2023-05-31T13:23:55Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
I used a custom builder to ``download_and_prepare`` a dataset. The first (very minor) issue is that the doc seems to suggest ``download_and_prepare`` will return the dataset, while it does not ([builder.py](https://github.com/huggingface/datasets/blob/main/src/datasets/builder.py#L718-L738)).
```... | {
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https://api.github.com/repos/huggingface/datasets/issues/5871 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5871/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5871/comments | https://api.github.com/repos/huggingface/datasets/issues/5871/events | https://github.com/huggingface/datasets/issues/5871 | 1,712,573,073 | I_kwDODunzps5mE8qR | 5,871 | data configuration hash suffix depends on uncanonicalized data_dir | {
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"It could even use `os.path.realpath` to resolve symlinks.",
"Indeed, it makes sense to normalize `data_dir`. Feel free to submit a PR (this can be \"fixed\" [here](https://github.com/huggingface/datasets/blob/89f775226321ba94e5bf4670a323c0fb44f5f65c/src/datasets/builder.py#L173))",
"#self-assign"
] | 2023-05-16T18:56:04Z | 2023-06-02T15:52:05Z | 2023-06-02T15:52:05Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | ### Describe the bug
I am working with the `recipe_nlg` dataset, which requires manual download. Once it's downloaded, I've noticed that the hash in the custom data configuration is different if I add a trailing `/` to my `data_dir`. It took me a while to notice that the hashes were different, and to understand that... | {
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https://api.github.com/repos/huggingface/datasets/issues/5869 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5869/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5869/comments | https://api.github.com/repos/huggingface/datasets/issues/5869/events | https://github.com/huggingface/datasets/issues/5869 | 1,711,990,003 | I_kwDODunzps5mCuTz | 5,869 | Image Encoding Issue when submitting a Parquet Dataset | {
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"Hi @PhilippeMoussalli thanks for opening a detailed issue. It seems the issue is more related to the `datasets` library so I'll ping @lhoestq @mariosasko on this one :) \n\n(edit: also can one of you move the issue to the datasets repo? Thanks in advance 🙏)",
"Hi ! The `Image()` info is stored in the **schema m... | 2023-05-16T09:42:58Z | 2023-06-16T12:48:38Z | 2023-06-16T09:30:48Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Hello,
I'd like to report an issue related to pushing a dataset represented as a Parquet file to a dataset repository using Dask. Here are the details:
We attempted to load an example dataset in Parquet format from the Hugging Face (HF) filesystem using Dask with the following code snippet... | {
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https://api.github.com/repos/huggingface/datasets/issues/5868 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5868/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5868/comments | https://api.github.com/repos/huggingface/datasets/issues/5868/events | https://github.com/huggingface/datasets/issues/5868 | 1,711,173,098 | I_kwDODunzps5l_m3q | 5,868 | Is it possible to change a cached file and 're-cache' it instead of re-generating? | {
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"Arrow files/primitives (tables and arrays) are immutable, so re-generating them is the only option, I'm afraid.",
"> \r\n\r\nGot it, thanks for your reply"
] | 2023-05-16T03:45:42Z | 2023-05-17T11:21:36Z | 2023-05-17T11:21:36Z | NONE | null | null | {
"completed": 0,
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} | ### Feature request
Hi,
I have a huge cached file using `map`(over 500GB), and I want to change an attribution of each element, is there possible to do it using some method instead of re-generating, because `map` takes over 24 hours
### Motivation
For large datasets, I think it is very important because we always f... | {
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https://api.github.com/repos/huggingface/datasets/issues/5866 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5866/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5866/comments | https://api.github.com/repos/huggingface/datasets/issues/5866/events | https://github.com/huggingface/datasets/issues/5866 | 1,710,496,993 | I_kwDODunzps5l9Bzh | 5,866 | Issue with Sequence features | {
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"Thanks for reporting! I've opened a PR with a fix."
] | 2023-05-15T17:13:29Z | 2023-05-26T11:57:17Z | 2023-05-26T11:57:17Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Sequences features sometimes causes errors when the specified length is not -1
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Features, ClassLabel, Sequence, Value, Dataset
feats = Features(**{'target': ClassLabel(names=[0, 1]),'x': Sequence(feature=Va... | {
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https://api.github.com/repos/huggingface/datasets/issues/5858 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5858/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5858/comments | https://api.github.com/repos/huggingface/datasets/issues/5858/events | https://github.com/huggingface/datasets/issues/5858 | 1,709,332,632 | I_kwDODunzps5l4liY | 5,858 | Throw an error when dataset improperly indexed | {
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"Thanks for reporting, @sarahwie.\r\n\r\nPlease note that in `datasets` we do not have vectorized operation like `pandas`. Therefore, your equality comparisons above are `False`:\r\n- For example: `squad['question']` returns a `list`, and this list is not equal to `\"Who was the Norse leader?\"`\r\n\r\nThe `False` ... | 2023-05-15T05:15:53Z | 2023-05-25T16:23:19Z | 2023-05-25T16:23:19Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Pandas-style subset indexing on dataset does not throw an error, when maybe it should. Instead returns the first instance of the dataset regardless of index condition.
### Steps to reproduce the bug
Steps to reproduce the behavior:
1. `squad = datasets.load_dataset("squad_v2", split="validati... | {
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https://api.github.com/repos/huggingface/datasets/issues/5857 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5857/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5857/comments | https://api.github.com/repos/huggingface/datasets/issues/5857/events | https://github.com/huggingface/datasets/issues/5857 | 1,709,326,622 | I_kwDODunzps5l4kEe | 5,857 | Adding chemistry dataset/models in huggingface | {
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"Hi! \r\n\r\nThis would be a nice addition to the Hub! You can find the existing chemistry datasets/models on the Hub (using the `chemistry` tag) [here](https://huggingface.co/search/full-text?q=chemistry&type=model&type=dataset).\r\n\r\nFeel free to ping us here on the Hub if you need help adding the datasets.\r\n... | 2023-05-15T05:09:49Z | 2023-07-21T13:45:40Z | 2023-07-21T13:45:40Z | NONE | null | null | {
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} | ### Feature request
Huggingface is really amazing platform for open science.
In addition to computer vision, video and NLP, would it be of interest to add chemistry/materials science dataset/models in Huggingface? Or, if its already done, can you provide some pointers.
We have been working on a comprehensive ben... | {
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