Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
name: string
description: string
license: string
licenseName: string
attribution: string
source: string
generated: string
rowCount: int64
caveat: string
rows: list<item: struct<tools: list<item: string>, persona: string, reason: string, article: string, artic (... 66 chars omitted)
child 0, item: struct<tools: list<item: string>, persona: string, reason: string, article: string, articleTitle: st (... 54 chars omitted)
child 0, tools: list<item: string>
child 0, item: string
child 1, persona: string
child 2, reason: string
child 3, article: string
child 4, articleTitle: string
child 5, lastVerified: timestamp[s]
child 6, handsOnTested: bool
resources: list<item: struct<name: string, path: string, format: string, mediatype: string, title: string, desc (... 127 chars omitted)
child 0, item: struct<name: string, path: string, format: string, mediatype: string, title: string, description: st (... 115 chars omitted)
child 0, name: string
child 1, path: string
child 2, format: string
child 3, mediatype: string
child 4, title: string
child 5, description: string
child 6, rowCount: int64
child 7, schema: struct<fields: list<item: struct<name: string, type: string, description: string>>>
child 0, fields: list<item: struct<name: string, type: string, description: string>>
child 0, item: struct<name: string, type: string, description: string>
child 0, name: string
child 1, type: string
child 2, description: string
homepage: string
title: string
keywords: list<item: string>
child 0, item: string
profile: string
contributors: list<item: struct<title: string, path: string, role: string>>
child 0, item: struct<title: string, path: string, role: string>
child 0, title: string
child 1, path: string
child 2, role: string
licenses: list<item: struct<name: string, path: string, title: string>>
child 0, item: struct<name: string, path: string, title: string>
child 0, name: string
child 1, path: string
child 2, title: string
created: string
to
{'profile': Value('string'), 'name': Value('string'), 'title': Value('string'), 'description': Value('string'), 'homepage': Value('string'), 'licenses': List({'name': Value('string'), 'path': Value('string'), 'title': Value('string')}), 'contributors': List({'title': Value('string'), 'path': Value('string'), 'role': Value('string')}), 'keywords': List(Value('string')), 'created': Value('string'), 'resources': List({'name': Value('string'), 'path': Value('string'), 'format': Value('string'), 'mediatype': Value('string'), 'title': Value('string'), 'description': Value('string'), 'rowCount': Value('int64'), 'schema': {'fields': List({'name': Value('string'), 'type': Value('string'), 'description': Value('string')})}})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
name: string
description: string
license: string
licenseName: string
attribution: string
source: string
generated: string
rowCount: int64
caveat: string
rows: list<item: struct<tools: list<item: string>, persona: string, reason: string, article: string, artic (... 66 chars omitted)
child 0, item: struct<tools: list<item: string>, persona: string, reason: string, article: string, articleTitle: st (... 54 chars omitted)
child 0, tools: list<item: string>
child 0, item: string
child 1, persona: string
child 2, reason: string
child 3, article: string
child 4, articleTitle: string
child 5, lastVerified: timestamp[s]
child 6, handsOnTested: bool
resources: list<item: struct<name: string, path: string, format: string, mediatype: string, title: string, desc (... 127 chars omitted)
child 0, item: struct<name: string, path: string, format: string, mediatype: string, title: string, description: st (... 115 chars omitted)
child 0, name: string
child 1, path: string
child 2, format: string
child 3, mediatype: string
child 4, title: string
child 5, description: string
child 6, rowCount: int64
child 7, schema: struct<fields: list<item: struct<name: string, type: string, description: string>>>
child 0, fields: list<item: struct<name: string, type: string, description: string>>
child 0, item: struct<name: string, type: string, description: string>
child 0, name: string
child 1, type: string
child 2, description: string
homepage: string
title: string
keywords: list<item: string>
child 0, item: string
profile: string
contributors: list<item: struct<title: string, path: string, role: string>>
child 0, item: struct<title: string, path: string, role: string>
child 0, title: string
child 1, path: string
child 2, role: string
licenses: list<item: struct<name: string, path: string, title: string>>
child 0, item: struct<name: string, path: string, title: string>
child 0, name: string
child 1, path: string
child 2, title: string
created: string
to
{'profile': Value('string'), 'name': Value('string'), 'title': Value('string'), 'description': Value('string'), 'homepage': Value('string'), 'licenses': List({'name': Value('string'), 'path': Value('string'), 'title': Value('string')}), 'contributors': List({'title': Value('string'), 'path': Value('string'), 'role': Value('string')}), 'keywords': List(Value('string')), 'created': Value('string'), 'resources': List({'name': Value('string'), 'path': Value('string'), 'format': Value('string'), 'mediatype': Value('string'), 'title': Value('string'), 'description': Value('string'), 'rowCount': Value('int64'), 'schema': {'fields': List({'name': Value('string'), 'type': Value('string'), 'description': Value('string')})}})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
AI Tool Pick — open dataset
Structured data on 149 AI tools, extracted from published comparison guides at theaitoolpick.com. Licensed CC BY 4.0 — reuse it freely, credit AI Tool Pick and link back.
What is unusual about this
Comparison sites publish what to buy. This publishes who each tool is wrong for — 552 structured anti-recommendations, each naming a reader persona and the reason the pick fails them. That field does not exist in any dataset we are aware of.
| File | Rows | What it holds |
|---|---|---|
not-for.csv / .json |
552 | Reader personas each guide advises against, and why |
tradeoffs.csv / .json |
867 | Price, capability and setup friction per pick, kept separate rather than collapsed into a rating |
pricing.csv / .json |
850 | Plan price and what the free tier actually allows, dated |
vendor-changes.csv / .json |
26 | Dated log of shutdowns, repositionings and plan moves |
datapackage.json |
— | Frictionless descriptor with a typed schema for every column |
Read this before you quote a number
Every row carries handsOnTested. In pricing.csv it is true on 6 of 850 rows.
Where it is false, the figures were compiled from the vendor's own published pricing and
documentation on that row's lastVerified date — not from using the product. The flag is in the
data rather than only in this README so that it survives being copied somewhere else.
Vendors change terms without notice, which is the entire reason vendor-changes exists. Re-check a
row against the vendor before relying on it.
Rows are per guide. A tool appearing in several guides appears several times, each with its own verification date, rather than being merged into one averaged record.
Provenance
Every row carries the guide it came from (article, articleTitle) and when that guide was last
re-checked (lastVerified), so any figure can be traced to the page that published it.
vendor-changes contains only changes the vendor made. Our own corrections and editorial
updates are tracked separately and deliberately excluded — the distinction is a kind field in the
source data, and mixing them would inflate this file with edits that say nothing about any vendor.
Live versions
These files are snapshots. The always-current versions are served from the site:
- https://theaitoolpick.com/data — human-readable overview
- https://theaitoolpick.com/data/index.json — machine-readable index
- https://theaitoolpick.com/data/tool/{slug}.json — everything on one tool
- https://theaitoolpick.com/tracked-changes — vendor changes as they are caught, with an RSS feed
Citation
AI Tool Pick. 2026. AI Tool Pick AI tool dataset.
https://theaitoolpick.com/data (CC BY 4.0).
@misc{aitoolpick_dataset,
title = {AI Tool Pick AI tool dataset},
author = {{AI Tool Pick}},
year = {2026},
url = {https://theaitoolpick.com/data},
note = {CC BY 4.0}
}
Corrections
If a row is wrong it is worth more to us fixed than defended. Every correction we have made is public at https://theaitoolpick.com/tracked-changes.
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