Datasets:

abcthesaurus
/

english-synonym-graph

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 4 new columns ({'word_a', 'word_b', 'pair_slug', 'note'}) and 8 missing columns ({'intensity', 'gloss', 'register', 'word', 'pos', 'relation', 'sense', 'target'}).

This happened while the csv dataset builder was generating data using

gzip://abcthesaurus-vs-notes.csv::hf://datasets/abcthesaurus/english-synonym-graph@6b25e6ec15fbca8a727ec51d850251d4851c5db7/abcthesaurus-vs-notes.csv.gz, ['hf://datasets/abcthesaurus/english-synonym-graph@6b25e6ec15fbca8a727ec51d850251d4851c5db7/abcthesaurus-en-edges.csv.gz', 'hf://datasets/abcthesaurus/english-synonym-graph@6b25e6ec15fbca8a727ec51d850251d4851c5db7/abcthesaurus-vs-notes.csv.gz']

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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              pair_slug: string
              word_a: string
              word_b: string
              note: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 730
              to
              {'word': Value('string'), 'sense': Value('int64'), 'pos': Value('string'), 'gloss': Value('string'), 'relation': Value('string'), 'target': Value('string'), 'register': Value('string'), 'intensity': Value('int64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 4 new columns ({'word_a', 'word_b', 'pair_slug', 'note'}) and 8 missing columns ({'intensity', 'gloss', 'register', 'word', 'pos', 'relation', 'sense', 'target'}).
              
              This happened while the csv dataset builder was generating data using
              
              gzip://abcthesaurus-vs-notes.csv::hf://datasets/abcthesaurus/english-synonym-graph@6b25e6ec15fbca8a727ec51d850251d4851c5db7/abcthesaurus-vs-notes.csv.gz, ['hf://datasets/abcthesaurus/english-synonym-graph@6b25e6ec15fbca8a727ec51d850251d4851c5db7/abcthesaurus-en-edges.csv.gz', 'hf://datasets/abcthesaurus/english-synonym-graph@6b25e6ec15fbca8a727ec51d850251d4851c5db7/abcthesaurus-vs-notes.csv.gz']
              
              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.

word string	sense int64	pos string	gloss string	relation string	target string	register string	intensity int64
a la mode	1	adj	served with ice cream	synonym	with ice cream	neutral	0
a la mode	1	adj	served with ice cream	synonym	topped with ice cream	neutral	0
a la mode	1	adj	served with ice cream	synonym	served with ice cream	neutral	0
a la mode	1	adj	served with ice cream	synonym	ice-cream-topped	neutral	0
a la mode	1	adj	served with ice cream	synonym	with a scoop	informal	0
a la mode	2	adj	in the current fashion	antonym	dated	neutral	0
a la mode	2	adj	in the current fashion	synonym	stylish	neutral	0
a la mode	2	adj	in the current fashion	synonym	chic	neutral	0
a la mode	2	adj	in the current fashion	synonym	fashionable	neutral	0
a la mode	2	adj	in the current fashion	antonym	outmoded	neutral	0
a la mode	2	adj	in the current fashion	antonym	unfashionable	neutral	0
a la mode	2	adj	in the current fashion	synonym	in vogue	neutral	0
a la mode	2	adj	in the current fashion	synonym	up to date	neutral	0
a la mode	2	adj	in the current fashion	synonym	in style	neutral	0
a la mode	2	adj	in the current fashion	synonym	trendy	informal	0
a la mode	2	adj	in the current fashion	synonym	modish	formal	0
a little	1	adv	to a small degree	synonym	rather	neutral	1
a little	1	adv	to a small degree	antonym	extremely	neutral	2
a little	1	adv	to a small degree	synonym	slightly	neutral	0
a little	1	adv	to a small degree	synonym	somewhat	neutral	0
a little	1	adv	to a small degree	antonym	greatly	neutral	2
a little	1	adv	to a small degree	antonym	hugely	neutral	2
a little	1	adv	to a small degree	synonym	moderately	neutral	0
a little	1	adv	to a small degree	synonym	mildly	neutral	0
a little	1	adv	to a small degree	synonym	marginally	neutral	-1
a little	1	adv	to a small degree	synonym	a bit	informal	0
a little	1	adv	to a small degree	synonym	kind of	informal	0
a little	2	noun	a small amount of something	antonym	a lot	neutral	2
a little	2	noun	a small amount of something	antonym	plenty	neutral	2
a little	2	noun	a small amount of something	synonym	a touch	neutral	-1
a little	2	noun	a small amount of something	synonym	a dash	neutral	-1
a little	2	noun	a small amount of something	synonym	a trace	neutral	-1
a little	2	noun	a small amount of something	synonym	a small amount	neutral	0
a little	2	noun	a small amount of something	synonym	a bit	informal	0
a little	2	noun	a small amount of something	synonym	a smidgen	informal	-1
a little	2	noun	a small amount of something	synonym	a modicum	formal	0
a lot	1	adv	to a great extent or often	synonym	much	neutral	0
a lot	1	adv	to a great extent or often	synonym	often	neutral	0
a lot	1	adv	to a great extent or often	antonym	slightly	neutral	-2
a lot	1	adv	to a great extent or often	synonym	frequently	neutral	0
a lot	1	adv	to a great extent or often	antonym	barely	neutral	-2
a lot	1	adv	to a great extent or often	antonym	rarely	neutral	-2
a lot	1	adv	to a great extent or often	synonym	greatly	neutral	0
a lot	1	adv	to a great extent or often	synonym	considerably	neutral	0
a lot	1	adv	to a great extent or often	synonym	enormously	neutral	1
a lot	1	adv	to a great extent or often	synonym	hugely	informal	1
a lot	2	noun	a large quantity or number	synonym	much	neutral	0
a lot	2	noun	a large quantity or number	antonym	a little	neutral	-2
a lot	2	noun	a large quantity or number	antonym	none	neutral	-2
a lot	2	noun	a large quantity or number	synonym	plenty	neutral	0
a lot	2	noun	a large quantity or number	synonym	scores	neutral	0
a lot	2	noun	a large quantity or number	synonym	a great deal	neutral	0
a lot	2	noun	a large quantity or number	antonym	hardly any	neutral	-2
a lot	2	noun	a large quantity or number	synonym	lots	informal	0
a lot	2	noun	a large quantity or number	synonym	loads	informal	0
a lot	2	noun	a large quantity or number	synonym	masses	informal	1
a lot	2	noun	a large quantity or number	synonym	heaps	informal	1
a lot	2	noun	a large quantity or number	synonym	tons	informal	1
a lot	2	noun	a large quantity or number	antonym	a bit	informal	-2
a lot	2	noun	a large quantity or number	synonym	an abundance	formal	1
a-ok	1	adj	working perfectly, entirely satisfactory	synonym	all right	neutral	0
a-ok	1	adj	working perfectly, entirely satisfactory	synonym	fine	neutral	0
a-ok	1	adj	working perfectly, entirely satisfactory	synonym	perfect	neutral	1
a-ok	1	adj	working perfectly, entirely satisfactory	synonym	sound	neutral	0
a-ok	1	adj	working perfectly, entirely satisfactory	antonym	broken	neutral	0
a-ok	1	adj	working perfectly, entirely satisfactory	antonym	faulty	neutral	0
a-ok	1	adj	working perfectly, entirely satisfactory	synonym	satisfactory	neutral	0
a-ok	1	adj	working perfectly, entirely satisfactory	antonym	defective	neutral	0
a-ok	1	adj	working perfectly, entirely satisfactory	antonym	unsatisfactory	neutral	0
a-ok	1	adj	working perfectly, entirely satisfactory	synonym	in good order	neutral	0
a-ok	1	adj	working perfectly, entirely satisfactory	synonym	okay	informal	0
a-ok	1	adj	working perfectly, entirely satisfactory	synonym	shipshape	informal	0
a-ok	1	adj	working perfectly, entirely satisfactory	synonym	hunky-dory	slang	0
a-okay	1	adj	entirely satisfactory and in order	near_synonym	excellent	neutral	0
a-one	1	adj	of the very finest quality	synonym	excellent	neutral	0
abandon	1	noun	reckless freedom from all restraint	antonym	self-control	neutral	0
abandon	1	noun	reckless freedom from all restraint	antonym	caution	neutral	0
abandon	1	noun	reckless freedom from all restraint	antonym	restraint	neutral	0
abandon	1	noun	reckless freedom from all restraint	antonym	mindfulness	neutral	0
abandon	1	noun	reckless freedom from all restraint	synonym	abandonment	neutral	0
abandon	1	noun	reckless freedom from all restraint	near_synonym	self-indulgence	neutral	0
abandon	1	noun	reckless freedom from all restraint	antonym	prudence	neutral	0
abandon	1	noun	reckless freedom from all restraint	antonym	deliberation	neutral	0
abandon	1	noun	reckless freedom from all restraint	synonym	wildness	neutral	0
abandon	1	noun	reckless freedom from all restraint	near_synonym	mindlessness	neutral	-1
abandon	1	noun	reckless freedom from all restraint	near_synonym	hedonism	formal	0
abandon	1	noun	reckless freedom from all restraint	near_synonym	profligacy	formal	1
abandon	1	noun	reckless freedom from all restraint	near_synonym	imprudence	formal	-1
abandon	1	noun	reckless freedom from all restraint	near_synonym	intemperance	formal	0
abandon	1	noun	reckless freedom from all restraint	synonym	wantonness	formal	0
abandon	1	noun	reckless freedom from all restraint	near_synonym	heedlessness	formal	-1
abandon	1	noun	reckless freedom from all restraint	near_synonym	libertinism	formal	1
abandon	1	noun	reckless freedom from all restraint	synonym	unrestraint	formal	0
abandon	2	verb	give up completely and finally	synonym	leave	neutral	-1
abandon	2	verb	give up completely and finally	antonym	stay with	neutral	0
abandon	2	verb	give up completely and finally	antonym	continue	neutral	0
abandon	2	verb	give up completely and finally	antonym	remain with	neutral	0
abandon	2	verb	give up completely and finally	antonym	stick by	neutral	0
abandon	2	verb	give up completely and finally	synonym	quit	neutral	0
abandon	2	verb	give up completely and finally	synonym	desert	neutral	0

End of preview.

YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

ABC Thesaurus — English synonym graph

Sense-level English thesaurus: 23,184 headwords, 32,878 senses, 340,992 verified relations. Every synonym / near-synonym / antonym is attached to a specific sense (with an editorial gloss) and labeled:

register: neutral | formal | informal | slang | dated | literary | technical
intensity: integer −2…+2 relative to the headword (good → superb = +1)

Plus ~4,500 editorial "what's the difference" notes for commonly confused pairs (glad vs happy, just vs only).

Example

{"word": "sterling",
 "senses": [{"pos": "adj", "gloss": "of the finest quality",
   "synonyms": [{"word": "excellent", "register": "neutral", "intensity": 0},
                {"word": "first rate", "register": "informal", "intensity": 0},
                {"word": "meritorious", "register": "formal", "intensity": 0}],
   "antonyms": [{"word": "second-rate", "register": "neutral", "intensity": 0}]}]}

Files

abcthesaurus-en.jsonl.gz — one JSON object per headword (schema above)
abcthesaurus-en-edges.csv.gz — flat relations table: word, sense, pos, gloss, relation, target, register, intensity
abcthesaurus-vs-notes.csv.gz — pair_slug, word_a, word_b, note

Loading

import pandas as pd
edges = pd.read_csv("hf://datasets/abcthesaurus/english-synonym-graph/abcthesaurus-en-edges.csv.gz")
edges[(edges.relation == "synonym") & (edges.register == "slang")].head()

Intended uses

Formality / style rewriting, paraphrase strength control, WSD evaluation, writing assistants, vocabulary apps.

Source & license

Compiled and verified by ABC Thesaurus; the live site serves the same data with a free JSON API. GitHub (docs & examples): warshipss/abcthesaurus-data.

License: CC BY-SA 4.0 — attribution with a link to abcthesaurus.com. Usage examples are from Tatoeba (CC BY 2.0 FR).

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Total file size:

6.27 MB