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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
messages_content__cluster: struct<cluster_id: int32, cluster_membership_prob: float, cluster_title: string, category_id: int32, category_membership_prob: float, category_title: string>
child 0, cluster_id: int32
child 1, cluster_membership_prob: float
child 2, cluster_title: string
child 3, category_id: int32
child 4, category_membership_prob: float
child 5, category_title: string
__rowid__: string
to
{'__rowid__': Value(dtype='string', id=None), 'conversation_id': Value(dtype='int64', id=None), 'messages': [{'id': Value(dtype='int64', id=None), 'author_id': Value(dtype='int64', id=None), 'author_name': Value(dtype='string', id=None), 'timestamp': Value(dtype='string', id=None), 'content': Value(dtype='string', id=None), 'attachments': [{'id': Value(dtype='int64', id=None), 'url': Value(dtype='string', id=None), 'fileName': Value(dtype='string', id=None), 'fileSizeBytes': Value(dtype='int64', id=None)}], 'mentions': [{'id': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None), 'discriminator': Value(dtype='string', id=None), 'nickname': Value(dtype='string', id=None), 'isBot': Value(dtype='bool', id=None)}], 'reference': {'messageId': Value(dtype='int64', id=None), 'channelId': Value(dtype='int64', id=None), 'guildId': Value(dtype='string', id=None)}}], 'help_channel': Value(dtype='string', id=None), '__rowid__:1': Value(dtype='string', id=None), '__hfsplit__': Value(dtype='string', id=None)}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1492, in compute_config_parquet_and_info_response
fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 683, in fill_builder_info
) = retry_validate_get_features_num_examples_size_and_compression_ratio(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 602, in retry_validate_get_features_num_examples_size_and_compression_ratio
validate(pf)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 640, in validate
raise TooBigRowGroupsError(
worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 798597763 which exceeds the limit of 300000000
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 797, in wrapped
for item in generator(*args, **kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 97, in _generate_tables
yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 75, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
messages_content__cluster: struct<cluster_id: int32, cluster_membership_prob: float, cluster_title: string, category_id: int32, category_membership_prob: float, category_title: string>
child 0, cluster_id: int32
child 1, cluster_membership_prob: float
child 2, cluster_title: string
child 3, category_id: int32
child 4, category_membership_prob: float
child 5, category_title: string
__rowid__: string
to
{'__rowid__': Value(dtype='string', id=None), 'conversation_id': Value(dtype='int64', id=None), 'messages': [{'id': Value(dtype='int64', id=None), 'author_id': Value(dtype='int64', id=None), 'author_name': Value(dtype='string', id=None), 'timestamp': Value(dtype='string', id=None), 'content': Value(dtype='string', id=None), 'attachments': [{'id': Value(dtype='int64', id=None), 'url': Value(dtype='string', id=None), 'fileName': Value(dtype='string', id=None), 'fileSizeBytes': Value(dtype='int64', id=None)}], 'mentions': [{'id': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None), 'discriminator': Value(dtype='string', id=None), 'nickname': Value(dtype='string', id=None), 'isBot': Value(dtype='bool', id=None)}], 'reference': {'messageId': Value(dtype='int64', id=None), 'channelId': Value(dtype='int64', id=None), 'guildId': Value(dtype='string', id=None)}}], 'help_channel': Value(dtype='string', id=None), '__rowid__:1': Value(dtype='string', id=None), '__hfsplit__': Value(dtype='string', id=None)}
because column names don't match
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 1505, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1099, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
__rowid__ string | conversation_id int64 | messages list | help_channel string | __rowid__:1 string | __hfsplit__ string |
|---|---|---|---|---|---|
08dd4518f6fc484eb7ea40ecfa799e9e | 1 | [
{
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"author_id": 805217272087838700,
"author_name": "Mathematics Bot",
"timestamp": "10/28/2021 19:50:56",
"content": "Available help channel!",
"attachments": [],
"mentions": [],
"reference": null
},
{
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"content": "Available help channel!",
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"content": "Available help channel!",
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{
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{
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{
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"content": "Available help channel!",
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{
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{
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"content": "Available help channel!",
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"content": "Available help channel!",
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{
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{
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{
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"url": "https://cdn.discordapp.com/attachments/903430332324405288/907229242742435840/2447... | help-10 | 616c7570279243d290e1833f6e13f107 | train |
264a7ad37fc04074b2338fdd0ad68cc6 | 1,014 | [
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"content": "Available help channel!",
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{
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929f26aaa36b4fbfbc49e537806d7645 | 1,015 | [
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{
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"content": "Available help channel!",
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{
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"timestamp": "03/03/2022 09:04:45",
"content": "also i got it wrong",
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{
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"content": "Available help channel!",
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{
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cf54e5d9e3dc43efa92f166a1d530497 | 1,019 | [
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"timestamp": "03/03/2022 11:18:29",
"content": "Available help channel!",
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{
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c727d974d2024e1cbb7234da218fd7b3 | 102 | [
{
"id": 905574524622340100,
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"author_name": "Mathematics Bot",
"timestamp": "11/03/2021 17:49:51",
"content": "Available help channel!",
"attachments": [],
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},
{
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6f8399155a564c828b1fc23e0af99f31 | 1,020 | [
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"timestamp": "03/03/2022 11:33:02",
"content": "Available help channel!",
"attachments": [],
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{
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"timestamp": "03/03/2022 14:10:41",
"content": "Available help channel!",
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{
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10368b80545b49efb167fb24e28422b9 | 1,022 | [
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"timestamp": "03/03/2022 17:20:28",
"content": "Available help channel!",
"attachments": [],
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"reference": null
},
{
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e689b2e8751b4481849412dbf4de9ecc | 1,023 | [
{
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"author_id": 594242143867109400,
"author_name": "Tronsi",
"timestamp": "03/03/2022 17:31:22",
"content": "It's not correct",
"attachments": [],
"mentions": [],
"reference": null
},
{
"id": 949071553142882400,
"author_id": 801077586926501900,
... | help-10 | a7515a4f1d0847be8f3c474edd8830ea | train |
End of preview.
local/mikeion_dissertation_data
This dataset is a Lilac processed dataset. Original dataset: https://huggingface.co/datasets/mikeion/dissertation_data
To download the dataset to a local directory:
lilac download lilacai/mikeion_dissertation_data-local-mikeion_dissertation_data
or from python with:
ll.download("lilacai/mikeion_dissertation_data-local-mikeion_dissertation_data")
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