The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'time_stats', 'name', 'stats'}) and 12 missing columns ({'logging_dir', '_launched', 'depends', 'local_rank_offset', 'start_method', 'skip_completed', 'world_size', 'pipeline', 'randomize_start_duration', 'local_tasks', 'workers', 'tasks'}).
This happened while the json dataset builder was generating data using
hf://datasets/yizhilll/fineweb-edu-score-2-minhash/minhash_logs/CC-MAIN-2013-20/signatures/stats.json (at revision 8202b6e65d2e5e6ca7bc5a78e92a5214d12de187)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
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 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
name: string
time_stats: struct<global_max: double, global_max_human: string, global_mean: double, global_mean_human: string, global_min: double, global_min_human: string, global_std_dev: double, global_std_dev_human: string, max: double, max_human: string, mean: double, mean_human: string, min: double, min_human: string, n: int64, std_dev: double, std_dev_human: string, total: double, total_human: string, unit: string, variance: double>
child 0, global_max: double
child 1, global_max_human: string
child 2, global_mean: double
child 3, global_mean_human: string
child 4, global_min: double
child 5, global_min_human: string
child 6, global_std_dev: double
child 7, global_std_dev_human: string
child 8, max: double
child 9, max_human: string
child 10, mean: double
child 11, mean_human: string
child 12, min: double
child 13, min_human: string
child 14, n: int64
child 15, std_dev: double
child 16, std_dev_human: string
child 17, total: double
child 18, total_human: string
child 19, unit: string
child 20, variance: double
stats: struct<doc_len: struct<max: int64, mean: double, min: int64, n: int64, std_dev: double, total: int64, variance: double>, doc_len_tokens: struct<max: int64, mean: double, min: int64, n: int64, std_dev: double, total: int64, variance: double>, documents: struct<max: int64, mean: double, min: int64, n: int64, std_dev: double, total: int64, unit: string, variance: double>, input_files: int64, total: int64>
child 0, doc_len: struct<max: int64, mean: double, min: int64, n: int64, std_dev: double, total: int64, variance: double>
child 0, max: int64
child 1, mean: double
child 2, min: int64
child 3, n: int64
child 4, std_dev: double
child 5, total: int64
child 6, variance: double
child 1, doc_len_tokens: struct<max: int64, mean: double, min: int64, n: int64, std_dev: double, total: int64, variance: double>
child 0, max: int64
child 1, mean: double
child 2, min: int64
child 3, n: int64
child 4, std_dev: double
child 5, total: int64
child 6, variance: double
child 2, documents: struct<max: int64, mean: double, min: int64, n: int64, std_dev: double, total: int64, unit: string, variance: double>
child 0, max: int64
child 1, mean: double
child 2, min: int64
child 3, n: int64
child 4, std_dev: double
child 5, total: int64
child 6, unit: string
child 7, variance: double
child 3, input_files: int64
child 4, total: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 420
to
{'pipeline': [{'limit': Value(dtype='int64', id=None), 'skip': Value(dtype='int64', id=None), 'text_key': Value(dtype='string', id=None), 'id_key': Value(dtype='string', id=None), 'adapter': Value(dtype='string', id=None), '_empty_warning': Value(dtype='bool', id=None), 'default_metadata': Value(dtype='null', id=None), 'data_folder': Value(dtype='string', id=None), 'paths_file': Value(dtype='null', id=None), 'recursive': Value(dtype='bool', id=None), 'glob_pattern': Value(dtype='string', id=None), 'shuffle_files': Value(dtype='bool', id=None), 'file_progress': Value(dtype='bool', id=None), 'doc_progress': Value(dtype='bool', id=None), 'batch_size': Value(dtype='int64', id=None), 'read_metadata': Value(dtype='bool', id=None), 'output_folder': Value(dtype='string', id=None), 'config': {'n_grams': Value(dtype='int64', id=None), 'num_buckets': Value(dtype='int64', id=None), 'num_hashs': Value(dtype='int64', id=None), 'seed': Value(dtype='int64', id=None), 'norm_config': {'lowercase': Value(dtype='bool', id=None), 'norm_whitespace': Value(dtype='bool', id=None), 'remove_punctuation': Value(dtype='bool', id=None), 'norm_unicode_diacritics': Value(dtype='bool', id=None), 'norm_numbers': Value(dtype='bool', id=None), 'norm_weekdays': Value(dtype='bool', id=None), 'norm_monthnames': Value(dtype='bool', id=None)}, 'hash_config': {'precision': Value(dtype='int64', id=None), 'hash_fc': Value(dtype='string', id=None)}}, 'num_hashes': Value(dtype='int64', id=None), 'naming_prefix': Value(dtype='string', id=None), '_parameters': Value(dtype='null', id=None), '_hash_func': Value(dtype='string', id=None)}], 'logging_dir': Value(dtype='string', id=None), 'skip_completed': Value(dtype='bool', id=None), 'randomize_start_duration': Value(dtype='int64', id=None), 'tasks': Value(dtype='int64', id=None), 'workers': Value(dtype='int64', id=None), 'start_method': Value(dtype='string', id=None), 'local_tasks': Value(dtype='int64', id=None), 'local_rank_offset': Value(dtype='int64', id=None), 'depends': Value(dtype='null', id=None), '_launched': Value(dtype='bool', id=None), 'world_size': Value(dtype='int64', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1412, 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 988, in stream_convert_to_parquet
builder._prepare_split(
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 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'time_stats', 'name', 'stats'}) and 12 missing columns ({'logging_dir', '_launched', 'depends', 'local_rank_offset', 'start_method', 'skip_completed', 'world_size', 'pipeline', 'randomize_start_duration', 'local_tasks', 'workers', 'tasks'}).
This happened while the json dataset builder was generating data using
hf://datasets/yizhilll/fineweb-edu-score-2-minhash/minhash_logs/CC-MAIN-2013-20/signatures/stats.json (at revision 8202b6e65d2e5e6ca7bc5a78e92a5214d12de187)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
pipeline
list | logging_dir
string | skip_completed
bool | randomize_start_duration
int64 | tasks
int64 | workers
int64 | start_method
string | local_tasks
int64 | local_rank_offset
int64 | depends
null | _launched
bool | world_size
int64 | name
string | time_stats
dict | stats
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
{
"limit": -1,
"skip": 0,
"text_key": "text",
"id_key": "id",
"adapter": "<bound method BaseReader._default_adapter of 📖 - READER: 📒 Parquet>",
"_empty_warning": false,
"default_metadata": null,
"data_folder": "DataFolder(path='/gpfs/public/research/liyizhi/huggingface/datasets/fineweb-edu-score-2', fs=<fsspec.implementations.local.LocalFileSystem object at 0x7f7c672a5cc0>)",
"paths_file": null,
"recursive": true,
"glob_pattern": "data/CC-MAIN-2013-20/*.parquet",
"shuffle_files": false,
"file_progress": false,
"doc_progress": false,
"batch_size": 100000,
"read_metadata": true,
"output_folder": null,
"config": null,
"num_hashes": null,
"naming_prefix": null,
"_parameters": null,
"_hash_func": null
},
{
"limit": null,
"skip": null,
"text_key": null,
"id_key": null,
"adapter": null,
"_empty_warning": null,
"default_metadata": null,
"data_folder": null,
"paths_file": null,
"recursive": null,
"glob_pattern": null,
"shuffle_files": null,
"file_progress": null,
"doc_progress": null,
"batch_size": null,
"read_metadata": null,
"output_folder": "DataFolder(path='/gpfs/public/research/liyizhi/datafilter/minhash/signatures', fs=<fsspec.implementations.local.LocalFileSystem object at 0x7f7c672a5cc0>)",
"config": {
"n_grams": 13,
"num_buckets": 9,
"num_hashs": 128,
"seed": 1,
"norm_config": {
"lowercase": true,
"norm_whitespace": true,
"remove_punctuation": true,
"norm_unicode_diacritics": true,
"norm_numbers": true,
"norm_weekdays": false,
"norm_monthnames": false
},
"hash_config": {
"precision": 32,
"hash_fc": "sha1"
}
},
"num_hashes": 128,
"naming_prefix": "CC-MAIN-2013-20",
"_parameters": null,
"_hash_func": "<function sha1_hash32 at 0x7f7c67bd1990>"
}
] | DataFolder(path='/gpfs/public/research/liyizhi/datafilter/minhash_logs/CC-MAIN-2013-20/signatures', fs=<fsspec.implementations.local.LocalFileSystem object at 0x7f7c672a5cc0>) | true | 0 | 58 | 58 | forkserver | 58 | 0 | null | true | 58 | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | 📖 - READER: 📒 Parquet | {
"global_max": 24.611353373154998,
"global_max_human": "24 seconds",
"global_mean": 22.953921495583554,
"global_mean_human": "22 seconds",
"global_min": 21.772052611224353,
"global_min_human": "21 seconds",
"global_std_dev": 0.668330556784374,
"global_std_dev_human": "0 seconds",
"max": 3.635258162394166,
"max_human": "3 seconds and 635.26 milliseconds",
"mean": 2.550435721731505,
"mean_human": "2 seconds and 550.44 milliseconds",
"min": 2.054549494758248,
"min_human": "2 seconds and 54.55 milliseconds",
"n": 522,
"std_dev": 0.191897126613,
"std_dev_human": "191.90 milliseconds",
"total": 1331.327446743846,
"total_human": "22 minutes and 11 seconds",
"unit": "batch",
"variance": 0.036824507202325
} | {
"doc_len": {
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"min": 130,
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},
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"total": 51901125,
"unit": "input_file",
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},
"input_files": 58,
"total": null
} |
null | null | null | null | null | null | null | null | null | null | null | null | 🫂 - DEDUP: 🎯 MinHash stage 1 | {
"global_max": 10643.44896444399,
"global_max_human": "2 hours, 57 minutes and 23 seconds",
"global_mean": 10393.209254457339,
"global_mean_human": "2 hours, 53 minutes and 13 seconds",
"global_min": 10183.734864931554,
"global_min_human": "2 hours, 49 minutes and 43 seconds",
"global_std_dev": 117.00853752850922,
"global_std_dev_human": "1 minute and 57 seconds",
"max": 10643.44896444399,
"max_human": "2 hours, 57 minutes, 23 seconds and 448.96 milliseconds",
"mean": 10393.209254457339,
"mean_human": "2 hours, 53 minutes, 13 seconds and 209.25 milliseconds",
"min": 10183.734864931554,
"min_human": "2 hours, 49 minutes, 43 seconds and 734.87 milliseconds",
"n": 58,
"std_dev": 117.00853752850924,
"std_dev_human": "1 minute, 57 seconds and 8.54 milliseconds",
"total": 602806.1367585259,
"total_human": "6 days, 23 hours, 26 minutes and 46 seconds",
"unit": null,
"variance": 13690.997854560554
} | {
"doc_len": null,
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} |
null | null | null | null | null | null | null | null | null | null | null | null | 📖 - READER: 📒 Parquet | {
"max": 2.9943794133141632,
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"mean": 2.63526858192765,
"mean_human": "2 seconds and 635.27 milliseconds",
"min": 2.1351338233798742,
"min_human": "2 seconds and 135.13 milliseconds",
"n": 9,
"std_dev": 0.24775101377468,
"std_dev_human": "247.75 milliseconds",
"total": 23.717417237348855,
"total_human": "23 seconds",
"unit": "batch",
"variance": 0.061380564826382
} | {
"doc_len": {
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},
"documents": {
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"unit": "input_file"
},
"input_files": 1,
"total": null
} |
null | null | null | null | null | null | null | null | null | null | null | null | 🫂 - DEDUP: 🎯 MinHash stage 1 | {
"max": null,
"max_human": "2 hours, 54 minutes, 6 seconds and 562.33 milliseconds",
"mean": 10446.562334323302,
"mean_human": "2 hours, 54 minutes, 6 seconds and 562.33 milliseconds",
"min": null,
"min_human": "2 hours, 54 minutes, 6 seconds and 562.33 milliseconds",
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"std_dev_human": "0 milliseconds",
"total": 10446.562334323302,
"total_human": "2 hours, 54 minutes and 6 seconds",
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} | {
"doc_len": null,
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} |
null | null | null | null | null | null | null | null | null | null | null | null | 📖 - READER: 📒 Parquet | {
"max": 3.000099296681583,
"max_human": "3 seconds and 0.10 milliseconds",
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"min": 2.402561891824007,
"min_human": "2 seconds and 402.56 milliseconds",
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"std_dev_human": "182.81 milliseconds",
"total": 23.47162076830864,
"total_human": "23 seconds",
"unit": "batch",
"variance": 0.033417932466685
} | {
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},
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"unit": "input_file"
},
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} |
null | null | null | null | null | null | null | null | null | null | null | null | 🫂 - DEDUP: 🎯 MinHash stage 1 | {
"max": null,
"max_human": "2 hours, 55 minutes, 21 seconds and 886.73 milliseconds",
"mean": 10521.886731086299,
"mean_human": "2 hours, 55 minutes, 21 seconds and 886.73 milliseconds",
"min": null,
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"total": 10521.886731086299,
"total_human": "2 hours, 55 minutes and 21 seconds",
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} | {
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} |
null | null | null | null | null | null | null | null | null | null | null | null | 📖 - READER: 📒 Parquet | {
"max": 2.61793562490493,
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"mean": 2.435158897398246,
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"min": 2.092996740713715,
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"total": 21.91643007658422,
"total_human": "21 seconds",
"unit": "batch",
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} | {
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},
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} |
null | null | null | null | null | null | null | null | null | null | null | null | 🫂 - DEDUP: 🎯 MinHash stage 1 | {
"max": null,
"max_human": "2 hours, 55 minutes, 45 seconds and 62.86 milliseconds",
"mean": 10545.06286280416,
"mean_human": "2 hours, 55 minutes, 45 seconds and 62.86 milliseconds",
"min": null,
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"std_dev_human": "0 milliseconds",
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"total_human": "2 hours, 55 minutes and 45 seconds",
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} | {
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} |
null | null | null | null | null | null | null | null | null | null | null | null | 📖 - READER: 📒 Parquet | {
"max": 2.992236709222197,
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"total_human": "24 seconds",
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} | {
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},
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} |
null | null | null | null | null | null | null | null | null | null | null | null | 🫂 - DEDUP: 🎯 MinHash stage 1 | {
"max": null,
"max_human": "2 hours, 55 minutes, 18 seconds and 286.38 milliseconds",
"mean": 10518.28637759015,
"mean_human": "2 hours, 55 minutes, 18 seconds and 286.38 milliseconds",
"min": null,
"min_human": "2 hours, 55 minutes, 18 seconds and 286.38 milliseconds",
"n": null,
"std_dev": null,
"std_dev_human": "0 milliseconds",
"total": 10518.28637759015,
"total_human": "2 hours, 55 minutes and 18 seconds",
"unit": null,
"variance": null
} | {
"doc_len": null,
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"total": 894848
} |
null | null | null | null | null | null | null | null | null | null | null | null | 📖 - READER: 📒 Parquet | {
"max": 2.938467364758253,
"max_human": "2 seconds and 938.47 milliseconds",
"mean": 2.6106293398059073,
"mean_human": "2 seconds and 610.63 milliseconds",
"min": 2.387076126411557,
"min_human": "2 seconds and 387.08 milliseconds",
"n": 9,
"std_dev": 0.17285830476858002,
"std_dev_human": "172.86 milliseconds",
"total": 23.49566405825317,
"total_human": "23 seconds",
"unit": "batch",
"variance": 0.029879993527467
} | {
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},
"documents": {
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"unit": "input_file"
},
"input_files": 1,
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} |
null | null | null | null | null | null | null | null | null | null | null | null | 🫂 - DEDUP: 🎯 MinHash stage 1 | {
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End of preview.