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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 2 new columns ({'date', 'us_ios_top_free_rank'}) and 6 missing columns ({'android_score', 'app', 'android_ratings', 'ios_score', 'developer', 'ios_ratings'}).
This happened while the csv dataset builder was generating data using
hf://datasets/crawlora-net/claude-app-reviews/data/rank-history.csv (at revision 1d573604a1b6193c0944dc3bffa42889ca853e95), ['hf://datasets/crawlora-net/claude-app-reviews@1d573604a1b6193c0944dc3bffa42889ca853e95/data/competitive-benchmark.csv', 'hf://datasets/crawlora-net/claude-app-reviews@1d573604a1b6193c0944dc3bffa42889ca853e95/data/rank-history.csv', 'hf://datasets/crawlora-net/claude-app-reviews@1d573604a1b6193c0944dc3bffa42889ca853e95/data/star-distribution.csv', 'hf://datasets/crawlora-net/claude-app-reviews@1d573604a1b6193c0944dc3bffa42889ca853e95/data/theme-counts.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
date: string
us_ios_top_free_rank: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 523
to
{'app': Value('string'), 'developer': Value('string'), 'ios_ratings': Value('int64'), 'ios_score': Value('float64'), 'android_ratings': Value('int64'), 'android_score': Value('float64')}
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 2 new columns ({'date', 'us_ios_top_free_rank'}) and 6 missing columns ({'android_score', 'app', 'android_ratings', 'ios_score', 'developer', 'ios_ratings'}).
This happened while the csv dataset builder was generating data using
hf://datasets/crawlora-net/claude-app-reviews/data/rank-history.csv (at revision 1d573604a1b6193c0944dc3bffa42889ca853e95), ['hf://datasets/crawlora-net/claude-app-reviews@1d573604a1b6193c0944dc3bffa42889ca853e95/data/competitive-benchmark.csv', 'hf://datasets/crawlora-net/claude-app-reviews@1d573604a1b6193c0944dc3bffa42889ca853e95/data/rank-history.csv', 'hf://datasets/crawlora-net/claude-app-reviews@1d573604a1b6193c0944dc3bffa42889ca853e95/data/star-distribution.csv', 'hf://datasets/crawlora-net/claude-app-reviews@1d573604a1b6193c0944dc3bffa42889ca853e95/data/theme-counts.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.
app string | developer string | ios_ratings int64 | ios_score float64 | android_ratings int64 | android_score float64 |
|---|---|---|---|---|---|
Claude | Anthropic | 201,437 | 4.72 | 614,011 | 4.53 |
ChatGPT | OpenAI | 8,641,725 | 4.83 | 51,184,375 | 4.77 |
Gemini | Google | 1,991,310 | 4.72 | 39,712,132 | 4.58 |
Grok | xAI | 1,300,072 | 4.88 | 3,490,694 | 4.83 |
Perplexity | Perplexity AI | 486,341 | 4.83 | 2,021,073 | 4.58 |
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Claude app reviews — it's the money, not the model
Aggregates over 1,610 real reviews and posts about the Claude by Anthropic app — 939 iOS App Store reviews, 279 Google Play reviews, and 392 Reddit posts from r/ClaudeAI — theme-coded into 8 categories, snapshot 2026-07-16.
Companion to the study What 1,610 Reviews of the Claude App Reveal: It's the Money, Not the Model.
Headline findings
- Pricing + rate-limits is the single largest theme in all three corpora — 24.6% of App Store reviews, 20.4% of Google Play reviews, 27.6% of Reddit posts — ahead of bugs, model- quality complaints, and comparisons to ChatGPT/Gemini.
- Written reviews skew far more negative than the true rating aggregate. 29.6% of sampled App Store text reviews are one-star, versus 4.3% of Apple's full 201,437-rating aggregate; 25.4% vs 8.0% on Google Play (614,011 ratings).
- Claude sat in the US iOS Top-10 Free chart for a full month (rank 5–12, June 19 – July 16,
- while carrying the lowest Android score (4.53) of five major AI assistant apps compared.
Files
| File | Contents |
|---|---|
data/summary.json |
Full aggregate: corpus sizes, theme counts, star distributions, rank history, competitive benchmark |
data/theme-counts.csv |
Theme mention counts + share, by corpus (App Store / Google Play / Reddit) |
data/star-distribution.csv |
Written-review star distribution vs. the true rating aggregate, App Store + Google Play |
data/rank-history.csv |
Claude's daily US iOS Top Free chart rank, June 19 – July 16, 2026 |
data/competitive-benchmark.csv |
iOS/Android ratings count + score for Claude, ChatGPT, Gemini, Grok, and Perplexity |
Methodology
Reviews and posts were pulled via the Crawlora web-data API on
2026-07-16: App Store reviews (both mostRecent and mostHelpful sort orders, 10 pages each),
Google Play reviews (newest, rating, and helpfulness sorts, 100 each), and Reddit posts
from r/ClaudeAI (top/month, top/year, hot, plus three targeted searches). Each item was
theme-coded with a documented keyword classifier across 8 categories (pricing, rate-limits,
bugs/reliability, comparisons to rivals, model-degradation complaints, safety refusals,
memory/context loss, quality praise) — a review or post can carry more than one tag. The
App Store rank history comes from Crawlora's own daily chart-tracking dataset, not a live scrape.
Caveats
- Theme classification is keyword-based, not semantic. Treat counts as a shape, not a census — see the companion study for the full discussion.
- Store reviews are the angriest fraction of a userbase. The written-review star
distribution is not representative of overall sentiment; see
star-distribution.csvfor the true rating aggregate alongside it. - Reddit's public feed exposes no upvote or comment-count field on posts (RSS-backed), so post counts are unweighted by engagement.
- This is a snapshot, not a trend line. The rank history covers 15 days, not months.
License & citation
Released under CC BY 4.0 — use it for anything, just attribute.
Crawlora (2026). Claude app reviews — it's the money, not the model. https://github.com/Crawlora-org/claude-app-reviews-data (CC BY 4.0)
See CITATION.cff for machine-readable citation metadata.
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