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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type list<item: string> to string
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1950, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type list<item: string> to string
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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ID
string
Idiom
string
Meaning
string
Sentence
list
1
ุฃุจุง ู‹ ุนู† ุฌุฏ
ู…ูุชูŽูˆุงุฑูŽุซ ู…ู† ุงู„ุฃุจ ุฅู„ู‰ ุงู„ุงุจู†ุŒ ูƒุดูŠุก ู…ูˆุฑูˆุซ ู…ู† ุงู„ุฃุฌุฏุงุฏ
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2
ุฃุจุงุทูŠู„
ุงู„ุฃุจุงุทูŠู„ุŒ ุงู„ุฃูƒุงุฐูŠุจ
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3
.โ€Š.โ€Š. ู‹ ุงุจุชุฏุฑู‡ุง ู‚ุงุฆุงู„
ู‚ุจู„ ุฃู† ุชุชู…ูƒู† ู…ู† ู‚ูˆู„ ูƒู„ู…ุฉุŒ ุตุงุญ...
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4
ุงุจุชุฐู„ ู†ูุณูŽู‡
ุฅุฐู„ุงู„ ุงู„ู†ูุณุŒ ุชุญู‚ูŠุฑ ุงู„ู†ูุณ
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5
ุงุจุชุฒ ู‘ ุฃู…ูˆุงู„ูŽ ุงู„ู† ูŽู‘ ุงุณ
ุณุฑู‚ุฉุŒ ุฎุฏุงุน ุดุฎุตุŒ ุณู„ุจ ุงู„ู…ุงู„ ู…ู† ุฌูŠูˆุจ ุงู„ู†ุงุณุŒ ุชุฎููŠู ุงู„ู†ุงุณ ู…ู† ุฃู…ูˆุงู„ู‡ู…
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6
ุงุจุชุณุงู…ุฉ ู‚ู‡ุฑูŠุฉ
ุงุจุชุณุงู…ุฉ ู…ูุตุทู†ุนุฉ
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7
ุงุจุชุบู‰ ุงู„ูˆุณูŠู„ุฉูŽ
ู…ูุญุงูˆูŽู„ุฉ ุงุณุชูู…ุงู„ุฉ ุดูŽุฎุต ู…ุง
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8
ุงุจุชุบู‰ ู…ู† ูุถู„ ู‡ู„ู„ุง
ุงู„ุณุนูŠ ู„ู†ูŠู„ ุฑุถุง ุงู„ู„ู‡
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9
ุฃุจุฏ ุงุฃู„ุจุฏูŠู†
ุฅู„ู‰ ุงู„ุฃุจุฏ
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10
ุฃุจุฏู‰ ุฑุฃูŠู‡ ููŠ
ุฅุจุฏุงุก ุงู„ุฑุฃูŠ ุญูˆู„
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11
ู‹ุฃุจุฏู‰ ุฑุบุจุฉ
ุงู„ุชุนุจูŠุฑ ุนู† ุฃู…ู†ูŠุฉ ุฃูˆ ุฑุบุจุฉ
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12
ุฃุจุฏู‰ ุนู† ู†ูˆุงุฌุฐู‡ ู„ูู€
ุฅุธู‡ุงุฑ ู…ูˆู‚ู ุนุฏุงุฆูŠ ูˆู…ู‡ุฏุฏ
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13
ุฃุจุฑุฃ ุฐู…ูŽู‘ุชูŽู‡
ุชุจุฑุฆุฉ ุงู„ู†ูุณ ู…ู† ุงู„ุฐู†ุจ
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14
ุฃุจุฑุฒ ู ุงู„ู…ุธุงู‡ุฑ
ุงู„ุธุงู‡ุฑุฉ ุงู„ุฃูƒุซุฑ ุจุฑูˆุฒู‹ุง ุฃูˆ ู„ูุชู‹ุง ู„ู„ุงู†ุชุจุงู‡
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15
ุฃุจุทุฃ ู…ู† ุบุฑุงุจ ู†ูˆุญ
ุฃุจุทุฃ ู…ู† ุบุฑุงุจ ู†ูˆุญุŒ ุฃูŠ ุฃุจุทุฃ ู…ู† ุญูƒุฉ ุชุณุชู…ุฑ ุนุดุฑ ุณู†ูˆุงุช.
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16
ุฃุจู‚ ุงู„ุนุจุฏ ู…ู† ุณูŠุฏู‡
ุงู„ู‡ุฑูˆุจุŒ ุงู„ูุฑุงุฑ
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17
ุฅุจู‚ุงุก ุงู„ุญุงู„ุฉ ุนู„ู‰ ู…ุง ูƒุงู†ุช ุนู„ูŠู‡
ุงู„ุญูุงุธ ุนู„ู‰ ุงู„ูˆุถุน ุงู„ุฑุงู‡ู†
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18
ุฃุจู„ูŽู‘ ู…ู† ู…ุฑุถ
ุงู„ุชูŽุนุงููŠ ู…ู† ู…ูŽุฑูŽุถ
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19
ุฃุจู„ุบ ุงู„ุดุฑุทุฉูŽ ุจูู€
ุงู„ุฅุจู„ุงุบ ุนู† ุดูŠุก ู„ู„ุดุฑุทุฉ
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20
ุฃุจู„ุบ ู†ูุณูŽู‡ ุนูุฐุฑูŽู‡ุง
ุจูŽุฐูŽู„ ู‚ูุตุงุฑู‰ ุฌูู‡ุฏู‡ุŒ ู„ูƒู† ุฏูˆู† ู†ุฌุงุญ.
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21
ุงุจู† ุขุฏู…
ุฅู†ุณุงู†
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22
ุงุจู† ุงุฃู„ูŠุงู…
ุฑูŽุฌูู„ ุนุงู„ูŽู…ูŠุŒ ุฑูŽุฌูู„ ู…ูุชูŽุญูŽุถู‘ูุฑุŒ ู†ูŽุชุงุฌ ุฒูŽู…ุงู†ูู‡
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23
ุงุจู† ุงู„ุจู„ุฏ
ุฃูŽุตู„ูŠ
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24
ุงุจู† ุงู„ุณุจูŠู„
ู…ุชุดุฑุฏุŒ ู…ุชุณูƒุนุŒ ุนุงุจุฑ ุณุจูŠู„ุŒ ู…ุณุงูุฑ
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25
ุงุจู†ู ุจูุฌู’ุฏูŽุชูู‡ูŽุง
ู‡ูˆ ูŠุนุฑู ุงู„ูˆุธูŠูุฉ ู…ู† ุงู„ุฃู„ู ุฅู„ู‰ ุงู„ูŠุงุกุŒ ูˆูŠูู„ู… ุจู‡ุง ุชู…ุงู…ู‹ุงุŒ ูู‡ูˆ ุงู„ุดุฎุต ุงู„ู…ู†ุงุณุจ ู„ู‡ุง.
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26
ุงุจู† ุฌุงู„
ุฑูŽุฌูู„ ู…ูŽุดู‡ูˆุฑุŒ ู…ูŽุนุฑูˆูุŒ ุดูŽุฎุตูŠุฉ ู…ูŽุดู‡ูˆุฑุฉ
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27
ุงุจู† ุฌูู„ ู’ ุฏูŽุชูู†ุง
ุงุจู† ุจู„ุฏู†ุงุŒ ุงุจู† ู‚ุจูŠู„ุชู†ุง
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28
ุงุจู† ุญุฑุงู…
ุงุจู† ุบูŠุฑ ุดุฑุนูŠ
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29
ุงุจู† ุญุงู„ู„
ุงุจู† ุดุฑุนูŠุŒ ุฑุฌู„ ู…ุญุชุฑู…
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30
ุงุจู† ุตูู„ุจูู‡
ุงุจู†ู‡ ุงู„ุฎุงุตุŒ ุฐุฑูŠุชู‡
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31
ุงุจู† ูŠูˆู…ู‡
ู‚ุตูŠุฑ ุงู„ุฃู…ุฏุŒ ุฒุงุฆู„
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32
ุฃุจูˆ ุดูˆุงุฑุจ
ู…ูุดูŽุงุฑูุจ
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33
.โ€Š.โ€Š. ุฃุจูˆ ุนูุฐุฑ
ู…ูŽุณุคูˆู„ ุนู†
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34
ุฃุจูˆ ู‚ ู ู†ุจููˆุฑ
ุฃุญุฏุจ
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35
ุงุฃู„ุจูˆุงู†
ุงู„ูˆุงู„ุฏุงู†ุŒ ุงู„ุฃุจ ูˆุงู„ุฃู…
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36
ุฃุจู‰ ุฅุงู„ ุฃู† ูŠูุนู„ู‡
ุฃุตุฑู‘ ุนู„ู‰ ุงู„ู‚ูŠุงู… ุจุฐู„ูƒ
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37
.โ€Š.โ€Š. ุฃุจู‰ ู‡ู„ู„ุง ุฅุงู„ ุฃู†
ุดุงุก ุงู„ู„ู‡ ุฃู†...
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38
ุงุจูŠุถ ูˆุฌู‡ู‡
ูŠุชูŽู…ูŽุชู‘ูŽุน ุจูุณูู…ุนุฉ ู…ูู…ูŽูŠู‘ูŽุฒุฉุŒ ูŠูŽุญุธู‰ ุจูุณูู…ุนุฉ ุฌูŽูŠู‘ูุฏุฉ
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39
ุงุชุฃุฏ ููŠ ู…ุดูŠุชู‡
ุงู„ู…ุดูŠ ุจุจุทุก ูˆุจุฏูˆู† ุนุฌู„ุฉ
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40
ุงุช ู‘ ุจุงุนุง ู‹ ู„ูู€
ุชูŽู…ุงุดููŠู‹ุง ู…ุนุŒ ูˆูŽูู’ู‚ู‹ุง ู„ู€
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41
ุงุช ู‘ ุจุน ุณูŠุงุณุฉ
ู„ูุงุชู‘ูุจุงุน ุณูŠุงุณุฉ
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42
ู‹ุงุชู‘ุจุน ู…ุฐู‡ุจุงู‹ ูู‚ู‡ูŠู‘ุง
ุงุชู‘ูุจุงุน ู…ูŽุฐู‡ุจ ููู‚ู‡ูŠ ุฅุณู„ุงู…ูŠ
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43
ุงุช ู‘ ุจุน ูŠู…ูŠู†ูŽู‡
ุงู„ุงู„ุชุฒุงู… ุจุงู„ูŠู…ูŠู†
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44
ุงุชุญุงุฏ ุงุขู„ุฑุงุก
ุงู„ุฅุฌู…ุงุนุŒ ุชูˆุญูŠุฏ ุงู„ุขุฑุงุก
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45
ุงุชุญุงุฏ ุงู„ูƒู„ู…ุฉ
ุชูŽูˆุงููู‚ุŒ ุงุชู‘ููุงู‚ุŒ ุงู†ุณูุฌุงู…
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46
ุงุช ู‘ ุฎุฐ ุงู„ุชุฏุงุจูŠุฑ ุงู„ุงู„ุฒู…ุฉ
ุงุชุฎุงุฐ ุงู„ุชุฏุงุจูŠุฑ ุงู„ู„ุงุฒู…ุฉ
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47
ุงุช ู‘ ุฎุฐ ุงู„ู…ุนู„ูˆู„ ุนู„ุฉ
ุงู„ุฎูŽู„ุท ุจูŠู† ุงู„ุณูŽุจุจ ูˆุงู„ู†ูŽุชูŠุฌุฉ
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48
ูŽุงุช ู‘ ุฎุฐ ุงู„ู…ูู† ูŽ ุงุณูุจ
ุงู„ุชุตุฑู ุจุทุฑูŠู‚ุฉ ู…ู†ุงุณุจุฉ ุฃูˆ ู…ู„ุงุฆู…ุฉ
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49
ุงุช ู‘ ุฎุฐ ุงู„ู…ูˆุงู‚ุน ุงู„ุฌุฏูŠุฏุฉ
ุดุบู„ ู…ูˆุงู‚ุน ุฌุฏูŠุฏุฉ (ุงู„ู‚ูˆุงุช)
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50
ุงุช ู‘ ุฎุฐ ุฎุทูˆุฉู‹ ุญุงุณู…ุฉ
ุงุชุฎุงุฐ ุฎุทูˆุฉ ุญุงุณู…ุฉ
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51
ู‹ุงุชู‘ุฎุฐ ุดูƒุงู„
ูŠูŽุชู‘ูŽุฎูุฐ ุดูŽูƒู„ุงู‹ ุฃูˆ ู‡ูŽูŠุฆุฉ
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52
ู‹ุงุชู‘ุฎุฐ ู‚ุฑุงุฑุง
ู„ูุชู…ุฑูŠุฑ ุฃูˆ ุชูŽุจูŽู†ู‘ูŠ ู‚ุฑุงุฑ
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53
ู‹ุงุชู‘ุฎุฐ ู…ู†ู‡ ู†ูุจุฑุงุณุง
ูŠูŽุชู‘ูŽุฎูุฐ ุดูŽุฎุตู‹ุง ูƒูŽู‚ูุฏูˆุฉุŒ ูŠูุญุงูƒูŠ ุดูŽุฎุตู‹ุง ุขุฎูŽุฑ
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54
ุงุช ู‘ ุฎุฐ ู…ู†ู‡ ูˆุณูŠู„ุฉ ู‹ ู„ูู€
ุฃู† ูŠูŽุนุชูŽุจูุฑ ุดูŠุฆู‹ุง ูˆุณูŠู„ุฉ ู„
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ู‹ุงุชู‘ุฎุฐ ู…ูˆู‚ูุง
ุงุชุฎุงุฐ ู…ูˆู‚ูุŒ ุชุจู†ูŠ ูˆุถุนูŠุฉ
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ุงุช ู‘ ุณุงุน ููŠ ุงู„ูƒุงู„ู…
ุบูู…ูˆุถ ุงู„ุชูŽุนุจูŠุฑ
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ุงุช ู‘ ุณุน ุงู„ุฎุฑู‚ ุนู„ู‰ ุงู„ุฑุงู‚ุน
ุงู„ุฅูŠุฌุงุฑ ู„ุง ูŠู…ูƒู† ุฅุตู„ุงุญู‡
[]
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ุงุชุตู„ ุจู‡ ุชู„ููˆู†ูŠุง
ู„ู„ุชูˆุงุตู„ ู…ุน ุดุฎุต ุนุจุฑ ุงู„ู‡ุงุชู
[]
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ุงุชุตู„ุช ุจู‡ ุงู„ู†ุงุฑ
ูŠูŽุดุชูŽุนูู„
[]
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ุฃุชุนุจ ุณุฑูŽู‘ู‡
ุฅุฒุนุงุฌ ุฃูˆ ู‚ู„ู‚ ุฃูˆ ู…ุถุงูŠู‚ุฉ ุฃูˆ ู…ุถุงูŠู‚ุฉ ุดุฎุต ู…ุง
[]
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ุงุชู‚ุฏ ุบูŠุฑุฉู‹ ุนู„ู‰
ูŠูŽุดุชูŽุนูู„ ุญูŽู…ุงุณู‹ุง ู„ูู€
[]
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ุงุชู…ุงู…ุง ู‹ ู„ู„ู†ุตุงุจ
ุฅูƒู…ุงู„ ุงู„ุนุฏุฏุŒ ู…ู† ุฃุฌู„ ุชู‚ุฑูŠุจ ุงู„ู…ุจู„ุบ
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ุดูŠุฆุงู‹ ูุฑูŠุงู‹ ู‹ุฃุชู‰
ู„ูููุนู„ ุดูŠุก ุบูŠุฑ ู…ูŽุณุจูˆู‚ุŒ ุงู„ู‚ูŠุงู… ุจุฃู…ุฑ ุบูŠุฑ ู…ูŽุนู‡ูˆุฏ
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ูุขุชู‰ ุฃ ู ูƒ ู ู„ ูŽ ู‡
ูŠูุซู…ูุฑ
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ุฃุชู‰ ุจ
ูŠูุญุถูุฑุŒ ูŠูู†ุชูุฌุŒ ูŠูู‚ุฏู‘ูู…
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ุฃุชู‰ ุจุฌุฏูŠุฏ
ุงู„ุฎุฑูˆุฌ ุจุดูŠุก ุฌุฏูŠุฏ
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ุฃุชู‰ ุนู„ู‰ ุงุฃู„ุฎุถุฑ ูˆุงู„ูŠุงุจุณ
ุชุฏู…ูŠุฑ ูƒู„ ุดูŠุกุŒ ู†ูŽุดุฑ ุงู„ููŽูˆุถู‰
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ุฃุชู‰ ู…ุชู„ุตุตุง ู‹ ุฅู„ู‰
ูŠูŽุณุฑูู‚ุŒ ู„ููŠูŽุชูŽุณูŽู„ู‘ูŽู„ ุฅูู„ูŽู‰
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ุฃุชูŠุญูŽ ู„ู‡ ุงู„ุชูˆููŠู‚
ู„ู‚ุฏ ุญู‚ู‚ ุงู„ู†ุฌุงุญุŒ ูƒุงู† ู†ุงุฌุญู‹ุง
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ุฃุชูŠุญุช ู„ู‡ ุงู„ูุฑุตุฉ
ุฃูุนุทููŠ ุงู„ููุฑุตุฉุŒ ูƒุงู† ู„ุฏูŠู‡ ุงู„ููุฑุตุฉ
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ูุฃุซุงุฑ ุซุงุฆุฑูŽุชูŽู‡
ุฅุบุถุงุจ ุดุฎุต ู…ุงุŒ ู„ุฅุซุงุฑุฉ ุดุฎุต ู…ุง
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ู‹ุฃุซุงุฑ ุบุจุงุฑุง
ุฅุซุงุฑุฉ ุงู„ุบุจุงุฑ
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ู‹ุฃุซุงุฑ ู…ุณุฃู„ุฉ
ุทุฑุญ ุณุคุงู„ ุฃูˆ ู…ุดูƒู„ุฉ
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ูŽุฃุซุจุช ุงู„ุดุฎุต
ุชุญุฏูŠุฏ ู‡ูˆูŠุฉ ุดุฎุต ู…ุงุŒ ุงู„ุชุนุฑู‘ู ุนู„ู‰ ุดุฎุต ู…ุง
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ูŽ ุฃุซุจุช ุงู„ูƒุงู„ู…
ุฅุตู„ุงุญ ุงู„ุตูŠุงุบุฉ ุงู„ุฏู‚ูŠู‚ุฉ ู„ู†ุต
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ุฃุซุจุช ุดุฎุตูŠุชูŽู‡
ุฅุซุจุงุช ุงู„ู‡ูˆูŠุฉ
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ุฃุซุจุชู‡ ููŠ ุงู„ูˆุฑู‚
ุชูŽุฏูˆูŠู† ุดูŠุก ู…ุง ุนู„ู‰ ุงู„ูˆุฑู‚
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ุฃุซุฎู† ููŠ ุงู„ุนุฏูˆ
ุฐูŽุจุญ ุงู„ุนูŽุฏูˆ
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ุฃุซุฎู†ู‡ ุจุงู„ุฌุฑุงุญ
ุฅุถุนุงู ุดุฎุต ุนู† ุทุฑูŠู‚ ุฅู„ุญุงู‚ ุงู„ุฌุฑูˆุญ ุจู‡
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ู‹ุฃุซุฎู†ู‡ ุถุฑุจุง
ุฅุนุทุงุก ุดุฎุต ู…ุง ุถุฑุจุฉ ู‚ูˆูŠุฉุŒ ุฃูˆ ู„ุถุฑุจู‡ ุถุฑุจู‹ุง ู…ุจุฑุญู‹ุง
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ุฃุซู‚ู„ ูƒูŽุงู‡ู„ ูŽ ู‡
ุฅุซู‚ุงู„ ูƒุงู‡ู„ ุดุฎุต ุฃูˆ ุดูŠุก
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ุฃุซูƒู„ ุงุฃู„ ู ู…ูŽู‘ ูˆู„ุฏูŽู‡ุง
ุฃู† ุชููุฌูุน ุงู„ุฃูู… ุจูู‚ุฏุงู† ุงุจู†ู‡ุง
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ุฃุซู„ุฌ ุตุฏุฑูŽู‡
ุฅุณุนุงุฏ ุดุฎุต ุฃูˆ ุฅุฑุถุงุฆู‡ ุฃูˆ ุฅู…ุชุงุนู‡
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ุฃุซู„ุฌุช ุงู„ุณู…ุงุก
ุชูŽุณุงู‚ูŽุทูŽ ุงู„ุซูŽู„ุฌุŒ ูƒุงู†ูŽ ุงู„ุซูŽู„ุฌ ูŠูŽุชูŽุณุงู‚ูŽุท
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ุฃุซู…ุงู† ุงู„ ุชู‚ุจู„ ุงู„ู…ุฒุงุญู…ุฉ
ุฃุณุนุงุฑ ู„ุง ุชูู†ุงููŽุณ
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ุฃุซู†ุงุก ุฐู„ูƒ
ุฃุซู†ุงุกุŒ ููŠ ุงู„ูˆู‚ุช ู†ูุณู‡ุŒ ุฎู„ุงู„
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ุฃุซู†ู‰ ุนู„ูŠู‡ ุนุงุทุฑูŽ ุงู„ุซู†ุงุก
ุงู„ุชุญุฏุซ ุนู† ุดุฎุต ุจุฃูƒุซุฑ ุงู„ุนุจุงุฑุงุช ู…ุฏุญู‹ุงุŒ ูˆุงู„ุฅุดุงุฏุฉ ุจู‡ ุฅู„ู‰ ุฃู‚ุตู‰ ุญุฏ
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ุฃุซูŠุฑ ุนู†ุฏ
ู…ูููŽุถู‘ูŽู„
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ุฃุฌุงุจ ุฅู„ู‰ ุทู„ุจู‡
ุงู„ุงุณุชุฌุงุจุฉ ู„ุทู„ุจ ุดุฎุต ู…ุงุŒ ุชู„ุจูŠุฉ ู…ุทุงู„ุจ ุดุฎุต ู…ุง
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ุฅุฌุงุจุฉ ู‹ ู„ุทู„ุจูƒู…
ุงุณุชุฌุงุจุฉู‹ ู„ุทู„ุจูƒ
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ุฃุฌุงุฏ ุงู„ุนุฒููŽ ุนู„ู‰
ุงู„ุนูŽุฒู (ุนู„ู‰ ุขู„ุฉ ู…ูˆุณูŠู‚ูŠุฉ)
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ู‹ุฃุฌุงุฏูŽ ู„ุบุฉ
ุฅุชู‚ุงู† ู„ุบุฉ
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ุฃุฌุงู„ ุงู„ุฑุฃูŠูŽ ููŠ
ุชูŽุฒูู† ุดูŠุฆู‹ุง ุจูุนูู†ุงูŠุฉุŒ ุชูŽุชูŽุฃู…ู‘ูŽู„ ููŠ ุดูŠุก
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ูŽุฃุฌุงู„ ุงู„ู†ุธุฑ
ูŠูŽุชูŽุฌูŽูˆู‘ูŽู„ ุจูู†ูŽุธูŽุฑูู‡ุŒ ูŠูŽู†ุธูุฑ ุญูŽูˆู„ูŽู‡
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ุงุฌุชุงุฒ ุงู„ุนู‚ุจุงุช
ุชูŽุฌุงูˆูุฒ ุงู„ุนูŽู‚ูŽุจุงุช
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ูŽุงุฌุชุงุฒุช ุดู‡ุฑุช ู ู‡ู ุงุขู„ูุงู‚
ุงู†ุชุดุฑุช ุดู‡ุฑุชู‡ ููŠ ุฌู…ูŠุน ุฃู†ุญุงุก ุงู„ุนุงู„ู…
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ุงุฌุชุฑู‘ ุขุงู„ู…ู‡
ุงู„ุชููƒุฑ ููŠ ุงู„ุญุฒู†
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ุงุฌุชุฑุญ ุงู„ุณูŠุฆุงุช
ููุนู„ ุฃุดูŠุงุก ุดูŽุฑูŠุฑุฉ
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ุงุฌุชุฑูˆุง ุฃุญุงุฏูŠุซ ูŽ ู‡ู…
ุธู„ูˆุง ูŠูƒุฑุฑูˆู† ู†ูุณ ุงู„ูƒู„ุงู…ุŒ ูŠุนูŠุฏูˆู† ู†ูุณ ุงู„ุฃู…ูˆุฑ ุงู„ู‚ุฏูŠู…ุฉ
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.โ€Š.โ€Š. ุงุฌุชู…ุนุช ูƒู„ู…ุช ู ู‡ู… ุนู„ู‰
ุงุชุญุฏูˆุงุŒ ุงู†ุถู…ูˆุง ุฅู„ู‰ ุจุนุถู‡ู… ุงู„ุจุนุถุŒ ุชูˆุตู„ูˆุง ุฅู„ู‰ ุงุชูุงู‚ุŒ ูƒุงู†ูˆุง ู…ุชูู‚ูŠู† ุนู„ู‰ ุฃู†...
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Memorization or Reasoning? Exploring the Idiom Understanding of LLMs

Official Repository for "Memorization or Reasoning? Exploring the Idiom Understanding of LLMs" [Paper Link (arXiv)]

Jisu Kim, Youngwoo Shin, Uiji Hwang, Jihun Choi, Richeng Xuan, and Taeuk Kim. Accepted to EMNLP 2025 long paper.

๐ŸŒ Multilingual Idiom Dataset Across Six languages (MIDAS)

MIDAS is a comprehensive dataset spanning six typologically and culturally diverse languages: English (EN), German (DE), Chinese (ZH), Korean (KO), Arabic (AR), and Turkish(TR). It contains approximately 10,000 idiom instances per language, each paired with a figurative meaning. Where available, example sentences are also included.

This repository includes four language subsets of MIDAS. German and Turkish had to be excluded due to copyright issues.

1. Dataset Format

The dataset includes four JSON files, each corresponding to a specific language.

For example, EN_Idioms.json is the English subset of our dataset.

All four subsets share the same schema of ID, Idiom, Meaning, and Sentence:

  • ID: An identifier assigned to each row. Idioms that have multiple figurative meanings are assigned different IDs for each meaning, such as "n-1", "n-2"...
  • Idiom: A list of idiom expression variants.
  • Meaning: The figurative meaning of the idiom.
  • Sentence: A list of example usage sentences including the idiom.

The following are some actual examples from our English subset:

    {
    "ID": "9-1",
    "Idiom": [
      "800-pound gorilla"
    ],
    "Meaning": "An entity that dominates.",
    "Sentence": [
      "When it comes to the lucrative search market, Google, not Microsoft, is the 800-pound gorilla.",
      "The thing he unfortunately doesn't recognise is there is an 800-pound gorilla when it comes to major American motor sports. The 800-pound gorilla is Nascar.",
      "It was poetically fitting. For almost a year, Mr. Trump has been the 800-pound gorilla whose unpredictable rampages have obsessed the news media. Now he was completing the circle by commenting on the 400-pound gorilla who briefly stole the spotlight from him for one holiday weekend.",
      "Apache Spark is a cluster-computing framework. Itโ€™s the 800-pound gorilla you turn to when itโ€™s impossible to fit your data in memory."
    ]
  },
  {
    "ID": "9-2",
    "Idiom": [
      "800-pound gorilla"
    ],
    "Meaning": "Something obvious but unaddressed that is dangerous or intimidating.",
    "Sentence": [
      "However, a co-author of the new study said those arguments ignore the โ€œ 800-pound gorilla โ€: sky-high prices everywhere."
    ]
  },
  {
    "ID": "2542",
    "Idiom": [
      "every dog must have his day",
      "every dog must have its day",
      "every dog has his day",
      "every dog has its day"
    ],
    "Meaning": "Everyone experiences success at some point in life.",
    "Sentence": [
      "\"To lose, it hurt. But I learned from that. I learned that every dog has its day. I learned patience.\"",
      "The Hearts manager John McGlynn was thrilled to be drawn against Liverpool in the Europa League play-offs. McGlynn said: \".... I would imagine the bookmakers would favour Liverpool but every dog has its day.\""
    ]
  }

2. Hugging Face Datasets

MIDAS is also available through the Hugging Face 'datasets' library!

from datasets import load_dataset

dataset = load_dataset("HYU-NLP/MIDAS", data_dir="data/")
print(dataset[0])

3. Further Details

More details regarding our dataset is specified in Section 3 and Appendix A of our paper!


๐Ÿ“š Citation

@misc{kim2025memorizationreasoningexploringidiom,
      title={Memorization or Reasoning? Exploring the Idiom Understanding of LLMs}, 
      author={Jisu Kim and Youngwoo Shin and Uiji Hwang and Jihun Choi and Richeng Xuan and Taeuk Kim},
      year={2025},
      eprint={2505.16216},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2505.16216}, 
}
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