Error code:   ConfigNamesError
Exception:    TypeError
Message:      list_() takes at least 1 positional argument (0 given)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1029, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1004, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 604, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 386, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 317, in _from_yaml_dict
                  yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
                                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2045, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2041, in from_yaml_inner
                  return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
                                ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2030, in from_yaml_inner
                  Value(obj["dtype"])
                File "<string>", line 5, in __init__
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 549, in __post_init__
                  self.pa_type = string_to_arrow(self.dtype)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 153, in string_to_arrow
                  return pa.__dict__[datasets_dtype + "_"]()
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/types.pxi", line 4942, in pyarrow.lib.list_
              TypeError: list_() takes at least 1 positional argument (0 given)

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.

Steam Co-Review Network

Two Steam games share an edge when multiple users reviewed both. Built from 128 million user reviews across 80,000 games (2012-2024), this dataset maps how the Steam catalog is connected through player overlap.

Files

steam_network_full.json

The complete co-review graph with minimal filtering:

48,362 game nodes (every game with 10+ reviews)
33,041,298 weighted edges (2+ shared reviewers per pair)
Per-node cap of 50 neighbors (densest connections preserved)
Edge weights range from 2 to 420,410 shared reviewers

Node format:

{
  "id": "620",
  "title": "Portal 2",
  "year": "2011",
  "rating": "Overwhelmingly Positive",
  "ratio": 97,
  "reviews": 263842,
  "price": 9.99
}

Link format:

{"source": 0, "target": 42, "weight": 1523}

Source and target are indices into the nodes array. Weight is the number of users who reviewed both games.

steam_all_2005.json

82,928 games released 2005-2025. Packed as arrays for compact JSON:

[name, year, ratio, reviews, price, ratingIdx, genreIdxs, tagIdxs, developer]
 [0]    [1]   [2]    [3]      [4]    [5]        [6]        [7]       [8]

Genres and tags are stored as index arrays referencing top-level genres[] and tags[] lookup tables in the same file.

steam_force_layout.json

Genre-aware pre-computed layout positions for the top ~9K nodes, clustered by primary genre with hub games as anchors. Use as warm-start coordinates for force-directed visualization.

Sources

Game metadata: FronkonGames Steam Games Dataset — Jan 2026 snapshot, 122K games
User reviews: artermiloff Steam Reviews 2024 — 128M reviews across 80K games, one CSV per game, 2012-June 2024

Pipeline

Load game metadata from FronkonGames enriched CSV
Scan 30K+ per-game review CSVs, extract steamid-to-game mappings
For each user who reviewed 2+ games, generate all game pairs
Count shared reviewers per pair to produce edge weights
Filter: minimum 2 shared reviewers (no neighbor cap)

Full pipeline: github.com/lukeslp/steam-network-data

Use Cases

Graph ML: Node classification (predict genre/rating from network position), link prediction, community detection
Recommendation systems: Games connected by high edge weights share audiences
Market analysis: Which genres cluster together? Where are the gaps?
Visualization: Force-directed layouts, chord diagrams, genre timelines of the Steam ecosystem

Live Visualization

dr.eamer.dev/datavis/interactive/steam/

Four interactive Canvas-rendered views: universe scatter, chord diagram, force-directed network, and genre timeline.

Distribution

GitHub: lukeslp/steam-network-data
Kaggle: lucassteuber/steam-universe-network

Author

Luke Steuber — lukesteuber.com — @lukesteuber.com on Bluesky

Downloads last month: 6