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Datasets:
hudsongouge
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Open-Discord

Tasks:
Text Generation
Languages:
English
Tags:
informal
License:
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<id: string, type: string, timestamp: string, timestampEdited: null, callEndedTimestamp: null, isPinned: bool, content: string, author: struct<id: string, name: string, discriminator: string, nickname: string, color: null, isBot: bool, roles: list<item: null>, avatarUrl: string>, attachments: list<item: null>, embeds: list<item: null>, stickers: list<item: null>, reactions: list<item: null>, mentions: list<item: null>, reference: struct<messageId: string, channelId: string, guildId: string>, inlineEmojis: list<item: null>>
to
{'id': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'timestamp': Value(dtype='string', id=None), 'timestampEdited': Value(dtype='null', id=None), 'callEndedTimestamp': Value(dtype='null', id=None), 'isPinned': Value(dtype='bool', id=None), 'content': Value(dtype='string', id=None), 'author': {'id': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'discriminator': Value(dtype='string', id=None), 'nickname': Value(dtype='string', id=None), 'color': Value(dtype='string', id=None), 'isBot': Value(dtype='bool', id=None), 'roles': [{'id': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'color': Value(dtype='string', id=None), 'position': Value(dtype='int64', id=None)}], 'avatarUrl': Value(dtype='string', id=None)}, 'attachments': [{'id': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'fileName': Value(dtype='string', id=None), 'fileSizeBytes': Value(dtype='int64', id=None)}], 'embeds': [{'title': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'timestamp': Value(dtype='null', id=None), 'description': Value(dtype='string', id=None), 'color': Value(dtype='string', id=None), 'thumbnail': {'url': Value(dtype='string', id=None), 'width': Value(dtype='int64', id=None), 'height': Value(dtype='int64', id=None)}, 'images': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'fields': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'inlineEmojis': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None)}], 'stickers': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'reactions': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'mentions': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'inlineEmojis': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None)}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2013, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature[0])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2108, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<id: string, type: string, timestamp: string, timestampEdited: null, callEndedTimestamp: null, isPinned: bool, content: string, author: struct<id: string, name: string, discriminator: string, nickname: string, color: null, isBot: bool, roles: list<item: null>, avatarUrl: string>, attachments: list<item: null>, embeds: list<item: null>, stickers: list<item: null>, reactions: list<item: null>, mentions: list<item: null>, reference: struct<messageId: string, channelId: string, guildId: string>, inlineEmojis: list<item: null>>
              to
              {'id': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'timestamp': Value(dtype='string', id=None), 'timestampEdited': Value(dtype='null', id=None), 'callEndedTimestamp': Value(dtype='null', id=None), 'isPinned': Value(dtype='bool', id=None), 'content': Value(dtype='string', id=None), 'author': {'id': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'discriminator': Value(dtype='string', id=None), 'nickname': Value(dtype='string', id=None), 'color': Value(dtype='string', id=None), 'isBot': Value(dtype='bool', id=None), 'roles': [{'id': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'color': Value(dtype='string', id=None), 'position': Value(dtype='int64', id=None)}], 'avatarUrl': Value(dtype='string', id=None)}, 'attachments': [{'id': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'fileName': Value(dtype='string', id=None), 'fileSizeBytes': Value(dtype='int64', id=None)}], 'embeds': [{'title': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'timestamp': Value(dtype='null', id=None), 'description': Value(dtype='string', id=None), 'color': Value(dtype='string', id=None), 'thumbnail': {'url': Value(dtype='string', id=None), 'width': Value(dtype='int64', id=None), 'height': Value(dtype='int64', id=None)}, 'images': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'fields': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'inlineEmojis': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None)}], 'stickers': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'reactions': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'mentions': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'inlineEmojis': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None)}
              
              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 1438, 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, 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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guild
dict
channel
dict
dateRange
dict
exportedAt
string
messages
list
messageCount
int64
{ "id": "1315258998995550258", "name": "I-Made-This", "iconUrl": "https://cdn.discordapp.com/icons/1315258998995550258/23fe2042f723a18db28def13def27366.png?size=512" }
{ "id": "1337617511285395496", "type": "GuildPublicThread", "categoryId": "1320792773506498610", "category": "papers", "name": "Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural network", "topic": null }
{ "after": null, "before": null }
2025-02-26T20:39:35.641906-05:00
[ { "id": "1337617511285395496", "type": "Default", "timestamp": "2025-02-07T21:54:26.422-05:00", "timestampEdited": null, "callEndedTimestamp": null, "isPinned": false, "content": "https://arxiv.org/abs/2102.00554\nThe growing energy and performance costs of deep learning have driven the ...
1
{ "id": "1109943800132010065", "name": "🌟Tonic's Better Prompt🍻", "iconUrl": "https://cdn.discordapp.com/icons/1109943800132010065/3d7a784d3f737163795c5defd23c27fc.png?size=512" }
{ "id": "1177256199054446634", "type": "GuildPublicThread", "categoryId": "1109943800840851589", "category": "🫂general", "name": "tell me more about Tulu v2 and DPO training for fine tuning LLama models :", "topic": null }
{ "after": null, "before": null }
2025-02-26T20:51:00.947619-05:00
[ { "id": "1177256201118023730", "type": "21", "timestamp": "2023-11-23T09:35:50.709-05:00", "timestampEdited": null, "callEndedTimestamp": null, "isPinned": false, "content": "", "author": { "id": "1176628808212828231", "name": "🌷Tulu", "discriminator": "9769", ...
1

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