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crawlora-net
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fifa-22-steam-reviews

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steam
gaming
reviews
fifa
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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 4 new columns ({'theme', 'pct_of_sample', 'n', 'pct_thumbs_up'}) and 5 missing columns ({'recommendations_down', 'recommendations_up', 'pct_positive', 'month', 'total'}).

This happened while the csv dataset builder was generating data using

hf://datasets/crawlora-net/fifa-22-steam-reviews/data/sample-theme-summary.csv (at revision 40a0173a171be119fa7bcd6adb6d5807c7a3fa8e), ['hf://datasets/crawlora-net/fifa-22-steam-reviews@40a0173a171be119fa7bcd6adb6d5807c7a3fa8e/data/monthly-review-histogram.csv', 'hf://datasets/crawlora-net/fifa-22-steam-reviews@40a0173a171be119fa7bcd6adb6d5807c7a3fa8e/data/sample-theme-summary.csv', 'hf://datasets/crawlora-net/fifa-22-steam-reviews@40a0173a171be119fa7bcd6adb6d5807c7a3fa8e/data/yearly-review-summary.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
              theme: string
              n: int64
              pct_of_sample: double
              pct_thumbs_up: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 740
              to
              {'month': Value('string'), 'recommendations_up': Value('int64'), 'recommendations_down': Value('int64'), 'total': Value('int64'), 'pct_positive': 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 4 new columns ({'theme', 'pct_of_sample', 'n', 'pct_thumbs_up'}) and 5 missing columns ({'recommendations_down', 'recommendations_up', 'pct_positive', 'month', 'total'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/crawlora-net/fifa-22-steam-reviews/data/sample-theme-summary.csv (at revision 40a0173a171be119fa7bcd6adb6d5807c7a3fa8e), ['hf://datasets/crawlora-net/fifa-22-steam-reviews@40a0173a171be119fa7bcd6adb6d5807c7a3fa8e/data/monthly-review-histogram.csv', 'hf://datasets/crawlora-net/fifa-22-steam-reviews@40a0173a171be119fa7bcd6adb6d5807c7a3fa8e/data/sample-theme-summary.csv', 'hf://datasets/crawlora-net/fifa-22-steam-reviews@40a0173a171be119fa7bcd6adb6d5807c7a3fa8e/data/yearly-review-summary.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.

month
string
recommendations_up
int64
recommendations_down
int64
total
int64
pct_positive
float64
2021-09
81
22
103
78.6
2021-10
8,297
2,124
10,421
79.6
2021-11
8,426
1,718
10,144
83.1
2021-12
7,554
2,119
9,673
78.1
2022-01
6,913
2,094
9,007
76.8
2022-02
8,314
2,308
10,622
78.3
2022-03
5,397
1,775
7,172
75.3
2022-04
3,732
1,201
4,933
75.7
2022-05
7,390
1,852
9,242
80
2022-06
8,486
1,970
10,456
81.2
2022-07
7,439
1,872
9,311
79.9
2022-08
7,816
2,024
9,840
79.4
2022-09
3,124
841
3,965
78.8
2022-10
2,194
503
2,697
81.3
2022-11
2,899
451
3,350
86.5
2022-12
2,095
470
2,565
81.7
2023-01
1,682
365
2,047
82.2
2023-02
1,220
292
1,512
80.7
2023-03
1,340
311
1,651
81.2
2023-04
926
218
1,144
80.9
2023-05
819
173
992
82.6
2023-06
748
173
921
81.2
2023-07
723
155
878
82.3
2023-08
552
126
678
81.4
2023-09
372
99
471
79
2023-10
471
117
588
80.1
2023-11
525
89
614
85.5
2023-12
356
89
445
80
2024-01
324
66
390
83.1
2024-02
225
55
280
80.4
2024-03
274
47
321
85.4
2024-04
256
52
308
83.1
2024-05
214
46
260
82.3
2024-06
225
66
291
77.3
2024-07
243
76
319
76.2
2024-08
143
34
177
80.8
2024-09
133
33
166
80.1
2024-10
136
31
167
81.4
2024-11
113
29
142
79.6
2024-12
141
34
175
80.6
2025-01
99
37
136
72.8
2025-02
90
25
115
78.3
2025-03
92
24
116
79.3
2025-04
88
18
106
83
2025-05
78
30
108
72.2
2025-06
88
18
106
83
2025-07
75
22
97
77.3
2025-08
56
13
69
81.2
2025-09
76
13
89
85.4
2025-10
58
16
74
78.4
2025-11
67
11
78
85.9
2025-12
57
12
69
82.6
2026-01
52
14
66
78.8
2026-02
49
21
70
70
2026-03
47
10
57
82.5
2026-04
57
6
63
90.5
2026-05
57
11
68
83.8
2026-06
73
13
86
84.9
2026-07
41
10
51
80.4
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
24,358
5,983
30,341
80.3
null
65,799
17,361
83,160
79.1
null
9,734
2,207
11,941
81.5
null
2,427
569
2,996
81
null
924
239
1,163
79.4
null
376
85
461
81.6

FIFA 22 Steam reviews — delisting and the server shutdown

Aggregates over FIFA 22's Steam review history — a lifetime histogram of all 130,062 up/down votes across every supported language since launch (2021-09 through 2026-07), plus a qualitative sample of 217 most-helpful/most-recent English-language reviews — read against the public record of when EA turned the game's online services off and delisted it from the Steam store. Snapshot 2026-07-21.

Companion to the study FIFA 22 Is Delisted, Its Servers Are Dead — and Its Steam Score Never Moved.

Headline findings

  • The score never moved. Year-by-year positive share sits in a tight 76–86% band from launch (80.3% in 2021) straight through both shutdown dates to today (81.6% in 2026) — no review-bomb, no visible dip, at either cutoff.
  • EA turned FIFA 22's servers off twice, on the public record. EA's own service-updates page lists online services "retired... for all platforms" on 2024-11-04; a community tracker lists a further "disconnected" entry on 2025-10-30. The Steam store listing now reads: "FIFA 22 is no longer available on the Steam store" — and still ships mandatory EA online-activation DRM.
  • The anger is small but concentrated. In a 217-review current-state sample (all reviews from the 12 months after both shutdowns), only 5.1% explicitly name the dead servers, delisting, or a launch failure — but that slice is only 36.4% thumbs-up, versus 83.0% for everything else in the same sample.
  • Nostalgia is doing more work than anger. 14.3% of the same sample volunteers "last good FIFA"/"RIP"/GOAT-style language, unprompted, for a game its own players can no longer even buy again.

Files

File Contents
data/summary.json Full aggregate: app metadata, current review badge, lifetime histogram, shutdown timeline, pre/post-shutdown windows, sample theme stats
data/monthly-review-histogram.csv All-language up/down review counts by month, 2021-09 → 2026-07 (exhaustive, not a sample)
data/yearly-review-summary.csv Same data rolled up by year
data/sample-theme-summary.csv Theme counts and thumbs-up rate from the 217-review qualitative sample

Methodology

The lifetime histogram was pulled in full via Steam's public appreviewhistogram endpoint (through Crawlora) on 2026-07-21 — this is every recorded up/down vote, not a sample. One quirk worth flagging for anyone reproducing this: the endpoint accepts a language parameter but does not actually filter by it — l=english and l=all return identical payloads, and the response's own source_url always echoes l=all. So the histogram totals here are all languages combined, a superset of the English-only "39,232 reviews" badge Steam shows an English-locale visitor on the live listing.

The 217-review qualitative sample was pulled via the reviews endpoint (filter=all and filter=recent, language=english, deduplicated by recommendation ID) on the same date, and keyword-matched against two theme lists (shutdown/server/offline/delisting; nostalgia). The Steam store listing itself — delisting notice, DRM requirement, current review badges — was read live on 2026-07-21. Shutdown dates come from EA's own service-updates page and a community-maintained FIFA Ultimate Team tracker (flagged separately, since only the first is an EA primary source).

Caveats

  • The lifetime histogram is exhaustive (every recorded vote, all languages) and is the basis for every "the score never moved" claim. The 217-review sample is not — it is a most-helpful/most-recent English-language pull, and because it was collected on a single date, it entirely postdates both shutdown milestones. It measures current sentiment, not a true before/after split like some of our other review studies.
  • Keyword matching counts a mention, not a verified cause. A review saying the game "won't launch" is counted as shutdown-themed whether or not the DRM requirement is provably the cause in that specific case.
  • The 2025-10-30 second shutdown date comes from a community tracker, not an EA primary source — we could not find an EA-published confirmation of it, only the 2024-11-04 date.
  • We publish aggregates only — no raw review text tied to individual reviewers. Illustrative quotes appear in the companion blog post, sourced from public Steam reviews and attributed only by vote count, playtime and date.

License & citation

Released under CC BY 4.0 — use it for anything, just attribute.

Crawlora (2026). FIFA 22 Steam reviews — delisting and the server shutdown. https://github.com/Crawlora-org/fifa-22-steam-reviews-data (CC BY 4.0)

See CITATION.cff for machine-readable citation metadata.
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