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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 1 new columns ({'genre'}) and 1 missing columns ({'category'}).
This happened while the csv dataset builder was generating data using
hf://datasets/crawlora-net/steam-catalog/data/genres.csv (at revision c4e2a8ca05ef0da83b953ccdc138614533de7b00), ['hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/categories.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/genres.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/ownership-concentration.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/platform-by-year.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/price-tiers.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/pricing-by-year.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/release-years.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/review-by-genre.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/review-tiers.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
genre: string
games: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 495
to
{'category': Value('string'), 'games': 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 1 new columns ({'genre'}) and 1 missing columns ({'category'}).
This happened while the csv dataset builder was generating data using
hf://datasets/crawlora-net/steam-catalog/data/genres.csv (at revision c4e2a8ca05ef0da83b953ccdc138614533de7b00), ['hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/categories.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/genres.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/ownership-concentration.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/platform-by-year.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/price-tiers.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/pricing-by-year.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/release-years.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/review-by-genre.csv', 'hf://datasets/crawlora-net/steam-catalog@c4e2a8ca05ef0da83b953ccdc138614533de7b00/data/review-tiers.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.
category string | games int64 |
|---|---|
Family Sharing | 9,566 |
Single-player | 9,076 |
Steam Achievements | 6,751 |
Steam Cloud | 4,981 |
Steam Trading Cards | 4,390 |
Multi-player | 3,690 |
Full controller support | 3,533 |
Co-op | 2,118 |
PvP | 1,944 |
DualShock Controller Support | 1,834 |
Online PvP | 1,752 |
Partial Controller Support | 1,702 |
DualSense Controller Support | 1,674 |
Online Co-op | 1,490 |
Steam Leaderboards | 1,249 |
Remote Play Together | 1,067 |
Remote Play on TV | 1,004 |
Shared/Split Screen | 921 |
Steam Workshop | 918 |
In-App Purchases | 847 |
null | 5,912 |
null | 4,825 |
null | 4,088 |
null | 2,520 |
null | 2,506 |
null | 2,498 |
null | 2,258 |
null | 1,325 |
null | 576 |
null | 568 |
null | 428 |
null | 372 |
null | 87 |
null | 41 |
null | 40 |
null | 31 |
null | 23 |
null | 23 |
null | 20 |
null | 18 |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | 3,541 |
null | 2,629 |
null | 2,033 |
null | 1,402 |
null | 368 |
null | 27 |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
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null | null |
null | null |
null | null |
null | null |
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null | null |
null | null |
null | null |
null | null |
null | null |
null | 2 |
null | 1 |
null | 3 |
null | 2 |
null | 4 |
null | 1 |
null | 2 |
null | 5 |
End of preview.
Steam Catalog Dataset — State of Steam 2026
Open aggregate data behind The State of Steam 2026, a study of the top 10,000 Steam games by owner estimate. Every field is a public storefront / third-party-estimate fact — no personal data.
Built by Crawlora by dogfooding its own APIs: the game universe is seeded from
SteamSpy's owner-ranked all pages and enriched with the public Steam storefront (appdetails). The full
dataset is queryable live at https://api.crawlora.net/api/v1/datasets/steam-games/search (and via the
datasets_steam_games_* MCP tools).
What's inside
| File | Description |
|---|---|
data/summary.json |
The full aggregate rollups behind the study — pricing by year, review-tier & price-tier distributions, top genres, ownership concentration (Pareto), platform-support trends by year, review sentiment by genre. |
data/sample.jsonl |
200 sample game records (top by owner estimate), one JSON object per line — the shape of the queryable dataset. |
data/pricing-by-year.csv |
Titles, free-to-play share, median/mean paid price by release year (2006–2026). |
data/platform-by-year.csv |
Native Linux and Mac support share by release year. |
data/review-tiers.csv |
Games per Steam review tier (Overwhelmingly Positive … Very Negative). |
data/genres.csv |
Games carrying each Steam genre tag (multi-tag; shares add past 100%). |
data/categories.csv |
Games carrying each Steam category (Family Sharing, Single-player, …). |
data/price-tiers.csv |
Games per list-price tier (free, under $5, … $30+). |
data/release-years.csv |
Games per release year. |
data/review-by-genre.csv |
Titles, median review score, free share per genre. |
data/ownership-concentration.csv |
Owner share held by the top 1/5/10/25% of games. |
The CSVs are flat cuts of the same rollups in data/summary.json — pick JSON for programmatic use,
CSVs for a quick load into a spreadsheet or pandas.read_csv.
Sample record fields
appid, name, developer, publisher, is_free, price_cents, initial_price_cents, discount_pct,
price_tier, owners_min/owners_max/owners_midpoint (SteamSpy estimate range), owners_bucket, ccu
(peak concurrent), positive/negative/total_reviews, review_score, review_tier (Steam's
volume-gated bands), average_forever_min/median_forever_min (playtime), genres, categories,
metacritic, recommendations, required_age, release_date/release_year, coming_soon,
platform_windows/platform_mac/platform_linux, language_count.
Headline findings
- Ownership is wildly concentrated. The top 1% of games hold ~33% of all estimated owners, the top 10% hold ~65%, the top 25% hold ~81% — of ≈9.2 billion estimated owner-copies.
- New-game prices are climbing and free-to-play is retreating. Median paid new-game price rose from $4.99 (2012–2016) to $9.99 (2024); free-to-play's share of new releases peaked ~32% (2019–2020) and fell to ~8% (2024). (2025–2026 have small samples and are caveated in the study.)
- Mac and Linux support is collapsing despite the Steam Deck. Among top games, native Linux support fell from ~44% (2013) to ~11% (2024) and Mac from ~51% to ~20% — Proton makes native builds unnecessary.
- Top games skew overwhelmingly positive. ~73% land in a positive review tier, only ~2% negative.
- Indie dominates. ~59% of top games carry the Indie tag.
Methodology & caveats
- Universe: the top 10,000 games by SteamSpy owner estimate (of ~10,900 tracked at capture). The head of Steam, not the full ~90k+ long tail.
- Owner counts are SteamSpy public estimates (ranges), not exact sales. We keep min/max/midpoint; concentration figures use midpoints.
review_tierfollows Steam's own volume-gated algorithm ("Very Positive" needs 50+ reviews, "Overwhelmingly" 500+), so it matches the store label rather than raw ratio.- Recent release years (2025–2026) have small samples; the robust price/platform trends run 2012→2024.
- Snapshot date: 2026-07-11.
License
CC BY 4.0 — free to use with attribution. Cite as:
Crawlora (2026). Steam Catalog Dataset — State of Steam 2026. https://github.com/Crawlora-org/steam-catalog-data
See CITATION.cff.
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