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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 2 new columns ({'keyphrase_int_id', 'keyphrase'}) and 2 missing columns ({'keyname', 'keyname_int_id'}). This happened while the json dataset builder was generating data using hf://datasets/ClovenDoug/ChomskyArxiv/ChomskyArxiv.Keyphrases.json (at revision 67fe6903e6d08755583c519ccca3ef9005cc9662) 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 _id: struct<$oid: string> child 0, $oid: string keyphrase: string all_paragraph_init_ids: list<item: int64> child 0, item: int64 all_work_int_ids: list<item: int64> child 0, item: int64 label: string score: double keyphrase_int_id: int64 -- schema metadata -- pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 967 to {'_id': {'$oid': Value(dtype='string', id=None)}, 'keyname': Value(dtype='string', id=None), 'all_paragraph_init_ids': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'all_work_int_ids': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'label': Value(dtype='string', id=None), 'score': Value(dtype='float64', id=None), 'keyname_int_id': 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 1417, 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 1049, 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 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 2 new columns ({'keyphrase_int_id', 'keyphrase'}) and 2 missing columns ({'keyname', 'keyname_int_id'}). This happened while the json dataset builder was generating data using hf://datasets/ClovenDoug/ChomskyArxiv/ChomskyArxiv.Keyphrases.json (at revision 67fe6903e6d08755583c519ccca3ef9005cc9662) 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)
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_id
dict | keyname
string | all_paragraph_init_ids
sequence | all_work_int_ids
sequence | label
string | score
float64 | keyname_int_id
int64 |
---|---|---|---|---|---|---|
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{
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9736
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1200
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{
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1835,
7148,
9736
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580,
689,
1200
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{
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69,
80,
386,
712
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{
"$oid": "674683d396f0cbbe89eb5a4b"
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27,
13545
] | [
890,
728
] | person-scholar | 0.922735 | 38 |
{
"$oid": "674683d396f0cbbe89eb5a53"
} | Stern | [
27,
14073,
14079,
14085,
14086
] | [
890,
859
] | person-other | 0.68671 | 39 |
{
"$oid": "674683d396f0cbbe89eb5a55"
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272,
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645,
808,
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897,
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386,
648,
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825
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{
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} | Mark Milley | [
31,
8546
] | [
107,
593
] | person-soldier | 0.380075 | 46 |
{
"$oid": "674683d496f0cbbe89eb5a9b"
} | Rishi Sunak | [
31
] | [
107
] | person-politician | 0.631525 | 47 |
{
"$oid": "674683d496f0cbbe89eb5a9d"
} | Boris Johnson | [
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10856,
15582
] | [
107,
70,
50,
607,
409,
90,
593,
1164,
368
] | person-politician | 0.927989 | 48 |
{
"$oid": "674683d596f0cbbe89eb5aae"
} | Lansing | [
32,
2843,
3044,
3825
] | [
107,
355,
963,
951
] | person-other | 0.592942 | 49 |
{
"$oid": "674683d596f0cbbe89eb5ab2"
} | John Lewis Gaddis | [
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13136,
13860
] | [
107,
968,
560,
226,
951,
122,
1270,
724,
733
] | person-scholar | 0.923506 | 50 |
{
"$oid": "674683d596f0cbbe89eb5abb"
} | Gaddis | [
32,
3428,
6215,
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7037,
9338,
13136,
13860
] | [
107,
560,
122,
1101,
1270,
724,
733
] | person-scholar | 0.894081 | 51 |
{
"$oid": "674683d596f0cbbe89eb5adc"
} | Halford Mackinder | [
34,
8216
] | [
107,
387
] | person-other | 0.588005 | 52 |
{
"$oid": "674683d596f0cbbe89eb5ae7"
} | Charles de Gaulle | [
34,
2385,
7174,
7221,
14461
] | [
107,
265,
526,
57,
58
] | person-politician | 0.968483 | 53 |
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"$oid": "674683d696f0cbbe89eb5af3"
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{
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} | Sakwa | [
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36
] | [
107
] | person-other | 0.405259 | 55 |
{
"$oid": "674683d896f0cbbe89eb5b64"
} | Dan Brook | [
41
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515
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{
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} | Gilens | [
42
] | [
515
] | person-scholar | 0.506494 | 57 |
{
"$oid": "674683d896f0cbbe89eb5b6d"
} | Bartels | [
42
] | [
515
] | person-scholar | 0.614474 | 58 |
{
"$oid": "674683d896f0cbbe89eb5b6f"
} | Page | [
42
] | [
515
] | person-scholar | 0.509064 | 59 |
{
"$oid": "674683d996f0cbbe89eb5b73"
} | Carlos Otero | [
43
] | [
515
] | person-artist/author | 0.369498 | 60 |
{
"$oid": "674683d996f0cbbe89eb5b75"
} | Barry Pateman | [
43
] | [
515
] | person-other | 0.389387 | 61 |
{
"$oid": "674683d996f0cbbe89eb5b81"
} | Noam | [
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{
"$oid": "674683d996f0cbbe89eb5b85"
} | Lev Chernyi | [
44
] | [
47
] | person-other | 0.714318 | 63 |
{
"$oid": "674683d996f0cbbe89eb5b87"
} | Toni Otter | [
44
] | [
47
] | person-other | 0.804802 | 64 |
{
"$oid": "674683d996f0cbbe89eb5b89"
} | Avid Darkly | [
44
] | [
47
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{
"$oid": "674683d996f0cbbe89eb5b8b"
} | Noa | [
44
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47
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{
"$oid": "674683d996f0cbbe89eb5b96"
} | Lev | [
44,
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49
] | [
47
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{
"$oid": "674683da96f0cbbe89eb5ba0"
} | Toni | [
47,
48
] | [
47
] | person-other | 0.356725 | 68 |
{
"$oid": "674683db96f0cbbe89eb5bb6"
} | Gilbert Achcar | [
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] | [
494,
445,
522,
884,
108,
1035
] | person-other | 0.725605 | 69 |
{
"$oid": "674683db96f0cbbe89eb5bbe"
} | Anwar al-Sadat | [
51
] | [
494
] | person-politician | 0.968297 | 70 |
{
"$oid": "674683dc96f0cbbe89eb5bd3"
} | Carter | [
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{
"$oid": "674683dc96f0cbbe89eb5bd6"
} | Stephen Shalom | [
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559,
1035
] | person-other | 0.780262 | 72 |
{
"$oid": "674683dd96f0cbbe89eb5bef"
} | Norman Graebner | [
56
] | [
633
] | person-artist/author | 0.336647 | 73 |
{
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} | Thomas Bailey | [
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4796,
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13864
] | [
633,
1,
684,
596,
733
] | person-scholar | 0.968695 | 74 |
{
"$oid": "674683dd96f0cbbe89eb5bf5"
} | James Blaine | [
56
] | [
633
] | person-politician | 0.926783 | 75 |
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"$oid": "674683dd96f0cbbe89eb5bfe"
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958
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472,
1081
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{
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} | McKinley | [
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58,
3821,
14966
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633,
951,
559
] | person-other | 0.665595 | 78 |
{
"$oid": "674683de96f0cbbe89eb5c0e"
} | Franklin Henry Giddings | [
57,
3831
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633,
951
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{
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Chomsky Arxiv! This is a knowledge graph of Chomsky's collected works. Below is a report on its statistics.
I wish for this graph to be used by the public to provide a rich, structured amount of data that can be used to build search engines for chomsky's work, and such.
=== Knowledge Graph Statistics Report ===
2024-11-27 21:42:10,046 - INFO - Works by Type:
2024-11-27 21:42:10,047 - INFO - article: 297 (23.2%)
2024-11-27 21:42:10,047 - INFO - debate: 26 (2.0%)
2024-11-27 21:42:10,047 - INFO - interview: 631 (49.2%)
2024-11-27 21:42:10,047 - INFO - letter: 38 (3.0%)
2024-11-27 21:42:10,047 - INFO - talk: 67 (5.2%)
2024-11-27 21:42:10,047 - INFO - youtube: 223 (17.4%)
2024-11-27 21:42:10,047 - INFO -
Total Counts:
2024-11-27 21:42:10,047 - INFO - Total works: 1,282
2024-11-27 21:42:10,047 - INFO - Total questions: 596
2024-11-27 21:42:10,047 - INFO - Total keynames: 7,389
2024-11-27 21:42:10,047 - INFO - Total keyphrases: 10,859
2024-11-27 21:42:10,047 - INFO - Total paragraphs: 16,145
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