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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 3 new columns ({'rank', 'collects_data', 'broad_host'}) and 1 missing columns ({'group'}).
This happened while the csv dataset builder was generating data using
hf://datasets/crawlora-net/ai-browser-extensions/data/top-extensions.csv (at revision d660c167efba58a4a627e080e9339c7a86563114), ['hf://datasets/crawlora-net/ai-browser-extensions@d660c167efba58a4a627e080e9339c7a86563114/data/first-party-vs-third-party.csv', 'hf://datasets/crawlora-net/ai-browser-extensions@d660c167efba58a4a627e080e9339c7a86563114/data/top-extensions.csv']
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 1837, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
rank: int64
name: string
developer: string
users: int64
rating: double
rating_count: int64
broad_host: bool
collects_data: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1186
to
{'group': Value('string'), 'name': Value('string'), 'developer': Value('string'), 'users': Value('int64'), 'rating': Value('float64'), 'rating_count': 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 1683, 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 1839, 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 3 new columns ({'rank', 'collects_data', 'broad_host'}) and 1 missing columns ({'group'}).
This happened while the csv dataset builder was generating data using
hf://datasets/crawlora-net/ai-browser-extensions/data/top-extensions.csv (at revision d660c167efba58a4a627e080e9339c7a86563114), ['hf://datasets/crawlora-net/ai-browser-extensions@d660c167efba58a4a627e080e9339c7a86563114/data/first-party-vs-third-party.csv', 'hf://datasets/crawlora-net/ai-browser-extensions@d660c167efba58a4a627e080e9339c7a86563114/data/top-extensions.csv']
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.
group string | name string | developer string | users int64 | rating float64 | rating_count int64 |
|---|---|---|---|---|---|
first_party_lab | Claude | Anthropic | 11,000,000 | 2.71 | 1,306 |
first_party_lab | ChatGPT search | OpenAI | 4,000,000 | 3.33 | 1,558 |
first_party_lab | ChatGPT (browser agent / Codex for Chrome) | OpenAI | 2,000,000 | 3.74 | 327 |
first_party_lab | Perplexity - AI Companion | Perplexity AI | 400,000 | 3.83 | 440 |
first_party_lab | Perplexity - AI Search | Perplexity AI | 100,000 | 3.65 | 172 |
third_party_aggregator | Sider | ChatGPT Sidebar | 5,000,000 | 4.92 | 113,374 |
third_party_aggregator | Monica | Monica Team | 3,000,000 | 4.89 | 32,114 |
third_party_aggregator | Merlin AI | Foyer Tech | 900,000 | 4.79 | 8,792 |
third_party_aggregator | MaxAI | MaxAI | 700,000 | 4.75 | 14,557 |
third_party_aggregator | HARPA AI | HARPA AI LLC | 300,000 | 4.69 | 3,147 |
null | Grammarly: AI Writing Assistant | Grammarly | 35,000,000 | 4.5 | 43,097 |
null | Claude | Anthropic | 11,000,000 | 2.71 | 1,306 |
null | WPS PDF (AI Chat PDF) | www.wps.com | 7,000,000 | 4.49 | 183 |
null | Zoom Chrome Extension | zoom.us | 7,000,000 | 3.88 | 1,032 |
null | AnyDoc Translator | www.wps.com | 6,000,000 | 4.64 | 504 |
null | Sider: Chat with all AI | ChatGPT Sidebar | 5,000,000 | 4.92 | 113,374 |
null | Quillbot: AI Writing Assistant | quillbot | 5,000,000 | 4.7 | 5,583 |
null | DeepL: translate and write with AI | team-browser-extensions | 4,000,000 | 4.73 | 12,505 |
null | DuckDuckGo Search & Tracker Protection | DuckDuckGo | 3,000,000 | 4.24 | 2,114 |
null | vidIQ Vision for YouTube | vidIQ | 3,000,000 | 4.49 | 10,961 |
null | Monica: All-In-One AI Assist | Monica Team | 3,000,000 | 4.89 | 32,114 |
null | Immersive Translate | Immersive Translate | 3,000,000 | 3.97 | 2,716 |
null | Coupert - Coupon Finder | Coupert.com | 3,000,000 | 4.73 | 11,111 |
null | LanguageTool Grammar Checker | lt-extension-publisher | 2,000,000 | 4.67 | 12,523 |
null | Momentum | Momentum | 2,000,000 | 4.49 | 13,751 |
The State of AI Browser Extensions 2026 — Open Dataset
Aggregate data behind the study The State of AI Browser Extensions 2026: The Labs' Own Extensions Are the Worst-Rated.
A July 2026 crawl of 39,241 AI-labeled Chrome Web Store extensions, measuring install counts, star ratings, host permissions, and declared data collection — with a first-party AI-lab vs third-party aggregator comparison.
Headline findings
- The AI labs' own first-party extensions are the worst-rated in the category. Anthropic's Claude extension is the 2nd most-installed AI extension (11M) but carries a 2.71-star rating — the lowest of any AI extension over ~1M users.
- Zero distribution overlap between the two groups: every first-party lab extension (Claude 2.71, ChatGPT 3.33 / 3.74, Perplexity 3.65–3.83) rates below every major third-party aggregator (Sider 4.92, Monica 4.89, Merlin 4.79, MaxAI 4.75, HARPA 4.69) — a 1.36-star gap between group averages.
- Only three major labs ship a verified first-party browser extension: OpenAI, Anthropic, and Perplexity. Google (Gemini), Microsoft (Copilot), xAI (Grok), Mistral, and DeepSeek ship none.
- Popularity buys permissions: broad host access rises from 28% of all AI extensions to 63% of the 100k+ tier.
Files
| File | Description |
|---|---|
data/summary.json |
Universe sizing, rating-contrast rollups, privacy counts, and the list of labs with no first-party extension. |
data/top-extensions.csv |
The most-installed AI extensions with users, rating, rating count, and permission flags. |
data/first-party-vs-third-party.csv |
First-party AI-lab extensions vs third-party AI aggregators, with users and ratings. |
Method & caveats
Data was pulled through Crawlora's Chrome Web Store dataset endpoints. User counts are Chrome's bucketed install values (e.g. "11,000,000"), not exact. rating is the store's mean star score; rating_count is the number of reviews and is far smaller than installs (e.g. Claude: 1,306 ratings against 11M installs), so lab scores reflect a small, self-selected sample. The q="AI" universe is a keyword match that includes writing, PDF, translation, and scraping tools; the clean apples-to-apples comparison is the lab-vs-aggregator cut. First-party publishers were verified by developer email domain and known extension IDs; impostor/spoofed developer names were excluded.
This dataset is aggregate-only — no individual reviews, reviewer names, or review text.
License
Creative Commons Attribution 4.0 International (CC BY 4.0). Attribute to Crawlora and link to the study.
Citation
See CITATION.cff.
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