Aniemore/resd_annotated_multi

RESD (Annotated, multi)

RESD with transcripts and separate text-emotion labels.

How it was recorded

RESD was recorded in a studio by 20 voice actors. There was no script: the actors were not handed lines to read. Instead each actor in a pair was privately given an emotion to play, and the dialogue was improvised from there. So the words are spontaneous while the emotion is deliberate — which is the point, and also the limit. The label describes what the actor was told to convey, not what a listener independently judged.

Splits

Split	Rows	Hours	Mean clip
train	1116	1.88	6.1 s
test	280	0.46	5.9 s

Fields

Column	Meaning
name	Clip identifier
path	Original file path
speech	Audio
text	Transcript of the utterance
emotion	Emotion label of the recording
text_emotions	Emotions judged from the transcript alone, multi-label

emotion and text_emotions disagree by design. The audio labels are near-balanced across seven classes, while the text labels are dominated by neutral (717 of 1378 in train). The same clip is often flat on the page and loud in the voice, which is the whole argument for listening rather than reading.

Usage

from datasets import load_dataset

ds = load_dataset("Aniemore/resd_annotated_multi")
print(ds["train"][0]["emotion"])

Limitations

Acted emotion is not spontaneous emotion. The classes here are near-balanced, while unscripted Russian speech is overwhelmingly neutral, so a model that scores well on this test set can still miss most of the neutral speech it meets in production. Treat a RESD score as a comparison between models, not as a readiness signal.

Citation

@misc{Aniemore,
  author = {Артем Аментес, Илья Лубенец, Никита Давидчук},
  title = {Открытая библиотека искусственного интеллекта для анализа и выявления эмоциональных оттенков речи человека},
  year = {2022},
  publisher = {Hugging Face},
  journal = {Hugging Face Hub},
  howpublished = {\url{https://huggingface.com/aniemore/Aniemore}},
  email = {hello@socialcode.ru}
}

License

MIT.