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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 1 new columns ({'text'}) and 3 missing columns ({'relations', 'id', 'entities'}).
This happened while the json dataset builder was generating data using
hf://datasets/mohanrj/MEN-Malaysian_English_News_Article_Dataset/article_json/article_1.json (at revision 01f15300155a475c76eea77d82f2220c24d4aedf)
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 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
text: string
to
{'relations': [{'head': Value(dtype='int64', id=None), 'id': Value(dtype='int64', id=None), 'relation': Value(dtype='string', id=None), 'relation_source': Value(dtype='string', id=None), 'tail': Value(dtype='int64', id=None)}], 'id': Value(dtype='string', id=None), 'entities': [{'id': Value(dtype='int64', id=None), 'label': Value(dtype='string', id=None), 'position': {'end_offset': Value(dtype='int64', id=None), 'start_offset': 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 1321, 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 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 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 2013, 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 1 new columns ({'text'}) and 3 missing columns ({'relations', 'id', 'entities'}).
This happened while the json dataset builder was generating data using
hf://datasets/mohanrj/MEN-Malaysian_English_News_Article_Dataset/article_json/article_1.json (at revision 01f15300155a475c76eea77d82f2220c24d4aedf)
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.
relations
list | id
string | entities
list |
|---|---|---|
[
{
"head": 6,
"id": 1,
"relation": "director",
"relation_source": "DocRED",
"tail": 35
},
{
"head": 10,
"id": 2,
"relation": "award received",
"relation_source": "DocRED",
"tail": 34
},
{
"head": 4,
"id": 3,
"relation": "location",
"relation_source": "DocRED",
"tail": 3
},
{
"head": 15,
"id": 4,
"relation": "award received",
"relation_source": "DocRED",
"tail": 36
},
{
"head": 33,
"id": 5,
"relation": "award received",
"relation_source": "DocRED",
"tail": 8
},
{
"head": 2,
"id": 6,
"relation": "award received",
"relation_source": "DocRED",
"tail": 32
},
{
"head": 13,
"id": 7,
"relation": "Org-Aff.Employment",
"relation_source": "ACE05",
"tail": 7
},
{
"head": 1,
"id": 8,
"relation": "award received",
"relation_source": "DocRED",
"tail": 12
},
{
"head": 14,
"id": 9,
"relation": "given name",
"relation_source": "DocRED",
"tail": 6
},
{
"head": 11,
"id": 10,
"relation": "given name",
"relation_source": "DocRED",
"tail": 6
},
{
"head": 11,
"id": 11,
"relation": "Org-Aff.Employment",
"relation_source": "ACE05",
"tail": 13
},
{
"head": 4,
"id": 12,
"relation": "significant event",
"relation_source": "DocRED",
"tail": 5
}
] | article_1 | [
{
"id": 1,
"label": "TITLE",
"position": {
"end_offset": 895,
"start_offset": 893
}
},
{
"id": 2,
"label": "PERSON",
"position": {
"end_offset": 139,
"start_offset": 116
}
},
{
"id": 3,
"label": "LOCATION",
"position": {
"end_offset": 12,
"start_offset": 0
}
},
{
"id": 4,
"label": "LOCATION",
"position": {
"end_offset": 22,
"start_offset": 14
}
},
{
"id": 5,
"label": "EVENT",
"position": {
"end_offset": 633,
"start_offset": 625
}
},
{
"id": 6,
"label": "PERSON",
"position": {
"end_offset": 139,
"start_offset": 108
}
},
{
"id": 7,
"label": "PERSON",
"position": {
"end_offset": 139,
"start_offset": 91
}
},
{
"id": 8,
"label": "PERSON",
"position": {
"end_offset": 139,
"start_offset": 119
}
},
{
"id": 9,
"label": "PERSON",
"position": {
"end_offset": 665,
"start_offset": 651
}
},
{
"id": 10,
"label": "PERSON",
"position": {
"end_offset": 665,
"start_offset": 654
}
},
{
"id": 11,
"label": "PERSON",
"position": {
"end_offset": 907,
"start_offset": 893
}
},
{
"id": 12,
"label": "PERSON",
"position": {
"end_offset": 907,
"start_offset": 896
}
},
{
"id": 13,
"label": "ORGANIZATION",
"position": {
"end_offset": 932,
"start_offset": 917
}
},
{
"id": 14,
"label": "PERSON",
"position": {
"end_offset": 1094,
"start_offset": 1080
}
},
{
"id": 15,
"label": "PERSON",
"position": {
"end_offset": 1094,
"start_offset": 1083
}
},
{
"id": 16,
"label": "LOCATION",
"position": {
"end_offset": 1262,
"start_offset": 1256
}
},
{
"id": 17,
"label": "LOCATION",
"position": {
"end_offset": 1314,
"start_offset": 1307
}
},
{
"id": 18,
"label": "LOCATION",
"position": {
"end_offset": 1328,
"start_offset": 1323
}
},
{
"id": 19,
"label": "LOCATION",
"position": {
"end_offset": 1343,
"start_offset": 1337
}
},
{
"id": 20,
"label": "LOCATION",
"position": {
"end_offset": 1358,
"start_offset": 1352
}
},
{
"id": 21,
"label": "LOCATION",
"position": {
"end_offset": 1372,
"start_offset": 1367
}
},
{
"id": 22,
"label": "LOCATION",
"position": {
"end_offset": 1387,
"start_offset": 1381
}
},
{
"id": 23,
"label": "LOCATION",
"position": {
"end_offset": 1404,
"start_offset": 1396
}
},
{
"id": 24,
"label": "LOCATION",
"position": {
"end_offset": 1417,
"start_offset": 1409
}
},
{
"id": 25,
"label": "LOCATION",
"position": {
"end_offset": 1502,
"start_offset": 1496
}
},
{
"id": 26,
"label": "LOCATION",
"position": {
"end_offset": 1436,
"start_offset": 1426
}
},
{
"id": 27,
"label": "LOCATION",
"position": {
"end_offset": 1446,
"start_offset": 1441
}
},
{
"id": 28,
"label": "LOCATION",
"position": {
"end_offset": 1464,
"start_offset": 1455
}
},
{
"id": 29,
"label": "LOCATION",
"position": {
"end_offset": 1487,
"start_offset": 1473
}
},
{
"id": 30,
"label": "LOCATION",
"position": {
"end_offset": 1516,
"start_offset": 1511
}
},
{
"id": 31,
"label": "LOCATION",
"position": {
"end_offset": 1540,
"start_offset": 1528
}
},
{
"id": 32,
"label": "TITLE",
"position": {
"end_offset": 115,
"start_offset": 108
}
},
{
"id": 33,
"label": "TITLE",
"position": {
"end_offset": 118,
"start_offset": 116
}
},
{
"id": 34,
"label": "TITLE",
"position": {
"end_offset": 653,
"start_offset": 651
}
},
{
"id": 35,
"label": "ROLE",
"position": {
"end_offset": 107,
"start_offset": 91
}
},
{
"id": 36,
"label": "TITLE",
"position": {
"end_offset": 1082,
"start_offset": 1080
}
}
] |
[
{
"head": 3,
"id": 1,
"relation": "given name",
"relation_source": "DocRED",
"tail": 1
},
{
"head": 15,
"id": 2,
"relation": "spouse",
"relation_source": "DocRED",
"tail": 5
},
{
"head": 49,
"id": 3,
"relation": "occupation",
"relation_source": "DocRED",
"tail": 18
},
{
"head": 53,
"id": 4,
"relation": "given name",
"relation_source": "DocRED",
"tail": 58
},
{
"head": 1,
"id": 5,
"relation": "given name",
"relation_source": "DocRED",
"tail": 22
},
{
"head": 57,
"id": 6,
"relation": "NO_RELATION",
"relation_source": "DocRED",
"tail": 59
},
{
"head": 33,
"id": 7,
"relation": "occupation",
"relation_source": "DocRED",
"tail": 50
},
{
"head": 26,
"id": 8,
"relation": "occupation",
"relation_source": "DocRED",
"tail": 29
},
{
"head": 56,
"id": 9,
"relation": "award received",
"relation_source": "DocRED",
"tail": 31
},
{
"head": 1,
"id": 10,
"relation": "given name",
"relation_source": "DocRED",
"tail": 46
},
{
"head": 36,
"id": 11,
"relation": "NO_RELATION",
"relation_source": "DocRED",
"tail": 10
},
{
"head": 14,
"id": 12,
"relation": "given name",
"relation_source": "DocRED",
"tail": 1
},
{
"head": 62,
"id": 13,
"relation": "given name",
"relation_source": "DocRED",
"tail": 47
},
{
"head": 19,
"id": 14,
"relation": "award received",
"relation_source": "DocRED",
"tail": 35
},
{
"head": 24,
"id": 15,
"relation": "Physical.Located",
"relation_source": "ACE05",
"tail": 43
},
{
"head": 20,
"id": 16,
"relation": "Org-Aff.Membership",
"relation_source": "ACE05",
"tail": 33
},
{
"head": 16,
"id": 17,
"relation": "award received",
"relation_source": "DocRED",
"tail": 55
},
{
"head": 43,
"id": 18,
"relation": "Physical.Located",
"relation_source": "ACE05",
"tail": 24
},
{
"head": 33,
"id": 19,
"relation": "Org-Aff.Employment",
"relation_source": "ACE05",
"tail": 20
},
{
"head": 59,
"id": 20,
"relation": "given name",
"relation_source": "DocRED",
"tail": 62
},
{
"head": 48,
"id": 21,
"relation": "given name",
"relation_source": "DocRED",
"tail": 61
},
{
"head": 27,
"id": 22,
"relation": "NO_RELATION",
"relation_source": "DocRED",
"tail": 29
},
{
"head": 62,
"id": 23,
"relation": "spouse",
"relation_source": "DocRED",
"tail": 29
},
{
"head": 1,
"id": 24,
"relation": "occupation",
"relation_source": "DocRED",
"tail": 37
},
{
"head": 23,
"id": 25,
"relation": "occupation",
"relation_source": "DocRED",
"tail": 44
},
{
"head": 27,
"id": 26,
"relation": "NO_RELATION",
"relation_source": "DocRED",
"tail": 62
},
{
"head": 63,
"id": 27,
"relation": "NO_RELATION",
"relation_source": "DocRED",
"tail": 27
},
{
"head": 51,
"id": 28,
"relation": "occupation",
"relation_source": "DocRED",
"tail": 32
},
{
"head": 29,
"id": 29,
"relation": "given name",
"relation_source": "DocRED",
"tail": 11
},
{
"head": 52,
"id": 30,
"relation": "spouse",
"relation_source": "DocRED",
"tail": 45
},
{
"head": 42,
"id": 31,
"relation": "award received",
"relation_source": "DocRED",
"tail": 25
},
{
"head": 2,
"id": 32,
"relation": "award received",
"relation_source": "DocRED",
"tail": 41
}
] | article_2 | [
{
"id": 1,
"label": "PERSON",
"position": {
"end_offset": 298,
"start_offset": 276
}
},
{
"id": 2,
"label": "TITLE",
"position": {
"end_offset": 1721,
"start_offset": 1711
}
},
{
"id": 3,
"label": "PERSON",
"position": {
"end_offset": 1520,
"start_offset": 1512
}
},
{
"id": 4,
"label": "PERSON",
"position": {
"end_offset": 2550,
"start_offset": 2538
}
},
{
"id": 5,
"label": "PERSON",
"position": {
"end_offset": 911,
"start_offset": 900
}
},
{
"id": 6,
"label": "PERSON",
"position": {
"end_offset": 1551,
"start_offset": 1540
}
},
{
"id": 7,
"label": "PERSON",
"position": {
"end_offset": 1794,
"start_offset": 1771
}
},
{
"id": 8,
"label": "PERSON",
"position": {
"end_offset": 1758,
"start_offset": 1747
}
},
{
"id": 9,
"label": "ORGANIZATION",
"position": {
"end_offset": 645,
"start_offset": 639
}
},
{
"id": 10,
"label": "ORGANIZATION",
"position": {
"end_offset": 2117,
"start_offset": 2111
}
},
{
"id": 11,
"label": "PERSON",
"position": {
"end_offset": 604,
"start_offset": 593
}
},
{
"id": 12,
"label": "PERSON",
"position": {
"end_offset": 1692,
"start_offset": 1681
}
},
{
"id": 13,
"label": "PERSON",
"position": {
"end_offset": 1884,
"start_offset": 1873
}
},
{
"id": 14,
"label": "PERSON",
"position": {
"end_offset": 2454,
"start_offset": 2446
}
},
{
"id": 15,
"label": "PERSON",
"position": {
"end_offset": 937,
"start_offset": 925
}
},
{
"id": 16,
"label": "TITLE",
"position": {
"end_offset": 1122,
"start_offset": 1117
}
},
{
"id": 17,
"label": "LOCATION",
"position": {
"end_offset": 12,
"start_offset": 0
}
},
{
"id": 18,
"label": "ROLE",
"position": {
"end_offset": 950,
"start_offset": 945
}
},
{
"id": 19,
"label": "TITLE",
"position": {
"end_offset": 148,
"start_offset": 138
}
},
{
"id": 20,
"label": "ORGANIZATION",
"position": {
"end_offset": 2232,
"start_offset": 2226
}
},
{
"id": 21,
"label": "PERSON",
"position": {
"end_offset": 1864,
"start_offset": 1852
}
},
{
"id": 22,
"label": "PERSON",
"position": {
"end_offset": 1186,
"start_offset": 1178
}
},
{
"id": 23,
"label": "ROLE",
"position": {
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"start_offset": 827
}
},
{
"id": 24,
"label": "FACILITY",
"position": {
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"start_offset": 2306
}
},
{
"id": 25,
"label": "PERSON",
"position": {
"end_offset": 1794,
"start_offset": 1782
}
},
{
"id": 26,
"label": "ROLE",
"position": {
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"start_offset": 117
}
},
{
"id": 27,
"label": "ORGANIZATION",
"position": {
"end_offset": 261,
"start_offset": 241
}
},
{
"id": 28,
"label": "PERSON",
"position": {
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"start_offset": 1961
}
},
{
"id": 29,
"label": "PERSON",
"position": {
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"start_offset": 138
}
},
{
"id": 30,
"label": "PERSON",
"position": {
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"start_offset": 945
}
},
{
"id": 31,
"label": "PERSON",
"position": {
"end_offset": 215,
"start_offset": 191
}
},
{
"id": 32,
"label": "ROLE",
"position": {
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"start_offset": 460
}
},
{
"id": 33,
"label": "PERSON",
"position": {
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}
},
{
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"start_offset": 2286
}
},
{
"id": 35,
"label": "PERSON",
"position": {
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"start_offset": 149
}
},
{
"id": 36,
"label": "ORGANIZATION",
"position": {
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"start_offset": 2145
}
},
{
"id": 37,
"label": "ROLE",
"position": {
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"start_offset": 25
}
},
{
"id": 38,
"label": "PERSON",
"position": {
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"start_offset": 1711
}
},
{
"id": 39,
"label": "ORGANIZATION",
"position": {
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"start_offset": 56
}
},
{
"id": 40,
"label": "PERSON",
"position": {
"end_offset": 1344,
"start_offset": 1332
}
},
{
"id": 41,
"label": "PERSON",
"position": {
"end_offset": 1733,
"start_offset": 1722
}
},
{
"id": 42,
"label": "TITLE",
"position": {
"end_offset": 1781,
"start_offset": 1771
}
},
{
"id": 43,
"label": "LOCATION",
"position": {
"end_offset": 2342,
"start_offset": 2328
}
},
{
"id": 44,
"label": "PERSON",
"position": {
"end_offset": 872,
"start_offset": 852
}
},
{
"id": 45,
"label": "PERSON",
"position": {
"end_offset": 1228,
"start_offset": 1217
}
},
{
"id": 46,
"label": "PERSON",
"position": {
"end_offset": 1902,
"start_offset": 1894
}
},
{
"id": 47,
"label": "PERSON",
"position": {
"end_offset": 2478,
"start_offset": 2473
}
},
{
"id": 48,
"label": "PERSON",
"position": {
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"start_offset": 973
}
},
{
"id": 49,
"label": "PERSON",
"position": {
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"start_offset": 951
}
},
{
"id": 50,
"label": "ROLE",
"position": {
"end_offset": 2222,
"start_offset": 2200
}
},
{
"id": 51,
"label": "PERSON",
"position": {
"end_offset": 494,
"start_offset": 477
}
},
{
"id": 52,
"label": "PERSON",
"position": {
"end_offset": 1255,
"start_offset": 1243
}
},
{
"id": 53,
"label": "PERSON",
"position": {
"end_offset": 494,
"start_offset": 460
}
},
{
"id": 54,
"label": "PERSON",
"position": {
"end_offset": 166,
"start_offset": 117
}
},
{
"id": 55,
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"position": {
"end_offset": 1006,
"start_offset": 995
}
},
{
"id": 56,
"label": "TITLE",
"position": {
"end_offset": 190,
"start_offset": 180
}
},
{
"id": 57,
"label": "PERSON",
"position": {
"end_offset": 360,
"start_offset": 349
}
},
{
"id": 58,
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"position": {
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"start_offset": 2276
}
},
{
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"start_offset": 385
}
},
{
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"position": {
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}
},
{
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"position": {
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}
},
{
"id": 62,
"label": "PERSON",
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End of preview.
YAML Metadata
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(https://huggingface.co/docs/hub/datasets-cards)
Standard English and Malaysian English exhibit notable differences, posing challenges for natural language processing (NLP) tasks on Malaysian English. Unfortunately, most of the existing datasets are mainly based on standard English and therefore inadequate for improving NLP tasks in Malaysian English. An experiment using state-of-the-art Named Entity Recognition (NER) solutions on Malaysian English news articles highlights that they cannot handle morphosyntactic variations in Malaysian English. To the best of our knowledge, there is no annotated dataset available to improvise the model. To address these issues, we constructed a Malaysian English News (MEN) dataset, which contains 200 news articles that are manually annotated with entities and relations. We then fine-tuned the spaCy NER tool and validated that having a dataset tailor-made for Malaysian English could improve the performance of NER in Malaysian English significantly. This paper presents our effort in the data acquisition, annotation methodology, and thorough analysis of the annotated dataset. To validate the quality of the annotation, inter-annotator agreement was used, followed by adjudication of disagreements by a subject matter expert. Upon completion of these tasks, we managed to develop a dataset with 6,061 entities and 3,268 relation instances. Finally, we discuss on spaCy fine-tuning setup and analysis on the NER performance. This unique dataset will contribute significantly to the advancement of NLP research in Malaysian English, allowing researchers to accelerate their progress, particularly in NER and RE
Refer More about the Project: https://mohanraj-nlp.github.io/men-dataset-project/
Paper (Accepted in LREC-COLING 2024): https://arxiv.org/abs/2402.14521
license: apache-2.0
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