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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Missing a name for object member. in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 153, in _generate_tables
                  df = pd.read_json(f, dtype_backend="pyarrow")
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1403, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
              ValueError: Expected object or value
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2643, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1659, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1816, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1347, in __iter__
                  for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 318, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 156, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 130, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Missing a name for object member. in row 0

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About

This dataset is copying from https://cseweb.ucsd.edu/~jmcauley/datasets.html in Steam Video Game and Bundle Data. We are using it for our research. These datasets contain reviews from the Steam video game platform, and information about which games were bundled together.

Statistics

  • Reviews : 7,793,069
  • Users Write Reviews : 25,799
  • Users Has Games : 88,310
  • Steam Games : 32,135
  • Steam Bundles : 615

Samples

For australian_user_reviews.json.gz

Click to expand!
{
  "user_id": "76561197970982479",
  "user_url": "http://steamcommunity.com/profiles/76561197970982479",
  "reviews": [
    {
      "funny": "",
      "posted": "Posted November 5, 2011.",
      "last_edited": "",
      "item_id": "1250",
      "helpful": "No ratings yet",
      "recommend": true,
      "review": "Simple yet with great replayability. In my opinion does \"zombie\" hordes and team work better than left 4 dead plus has a global leveling system. Alot of down to earth \"zombie\" splattering fun for the whole family. Amazed this sort of FPS is so rare."
    },
    {
      "funny": "",
      "posted": "Posted July 15, 2011.",
      "last_edited": "",
      "item_id": "22200",
      "helpful": "No ratings yet",
      "recommend": true,
      "review": "It's unique and worth a playthrough."
    },
    {
      "funny": "",
      "posted": "Posted April 21, 2011.",
      "last_edited": "",
      "item_id": "43110",
      "helpful": "No ratings yet",
      "recommend": true,
      "review": "Great atmosphere. The gunplay can be a bit chunky at times but at the end of the day this game is definitely worth it and I hope they do a sequel...so buy the game so I get a sequel!"
    }
  ]
}

For australian_users_items.json.gz

Click to expand!
{
  "user_id": "76561197970982479",
  "items_count": 277,
  "steam_id": "76561197970982479",
  "user_url": "http://steamcommunity.com/profiles/76561197970982479",
  "items": [
    {
      "item_id": "10",
      "item_name": "Counter-Strike",
      "playtime_forever": 6,
      "playtime_2weeks": 0
    },
    {
      "item_id": "20",
      "item_name": "Team Fortress Classic",
      "playtime_forever": 0,
      "playtime_2weeks": 0
    },
    {
      "item_id": "30",
      "item_name": "Day of Defeat",
      "playtime_forever": 7,
      "playtime_2weeks": 0
    },
    # Additional items continue...
  ]
}

For bundle_data.json.gz

Click to expand!
{
  "bundle_final_price": "$66.46",
  "bundle_url": "http://store.steampowered.com/bundle/450/?utm_source=SteamDB&utm_medium=SteamDB&utm_campaign=SteamDB%20Bundles%20Page",
  "bundle_price": "$73.86",
  "bundle_name": "Dharker Studio 2015 Complete",
  "bundle_id": "450",
  "items": [
    {
      "genre": "Adventure, Indie, RPG",
      "item_id": "326950",
      "discounted_price": "$8.99",
      "item_url": "http://store.steampowered.com/app/326950",
      "item_name": "Sword of Asumi"
    },
    {
      "genre": "Adventure, Indie, RPG",
      "item_id": "331490",
      "discounted_price": "$2.99",
      "item_url": "http://store.steampowered.com/app/331490",
      "item_name": "Sword of Asumi - Soundtrack"
    },
    {
      "genre": "Adventure, Indie, RPG",
      "item_id": "331491",
      "discounted_price": "$1.99",
      "item_url": "http://store.steampowered.com/app/331491",
      "item_name": "Sword of Asumi - Graphic Novel"
    },
    // More items continue...
  ],
  "bundle_discount": "10%"
}

For steam_games.json.gz

Click to expand!
  {
 "publisher": "Kotoshiro",
 "genres": [
   "Action",
   "Casual",
   "Indie",
   "Simulation",
   "Strategy"
 ],
 "app_name": "Lost Summoner Kitty",
 "title": "Lost Summoner Kitty",
 "url": "http://store.steampowered.com/app/761140/Lost_Summoner_Kitty/",
 "release_date": "2018-01-04",
 "tags": [
   "Strategy",
   "Action",
   "Indie",
   "Casual",
   "Simulation"
 ],
 "discount_price": 4.49,
 "reviews_url": "http://steamcommunity.com/app/761140/reviews/?browsefilter=mostrecent&p=1",
 "specs": [
   "Single-player"
 ],
 "price": 4.99,
 "early_access": false,
 "id": "761140",
 "developer": "Kotoshiro"
  }

For steam_reviews.json.gz

Click to view user review by Chaos Syren
{
  "username": "Chaos Syren",
  "hours": 0.1,
  "products": 41,
  "product_id": "725280",
  "page_order": 0,
  "date": "2017-12-17",
  "text": "This would not be acceptable as an entertainment even back in the day when these graphics were all there was to be had. No effort has been made to bring the player into any story or even entertain.",
  "early_access": false,
  "page": 1
}

Citations

For support the original author, please cite the following paper if you use the data like us.

  1. Self-attentive sequential recommendation, Wang-Cheng Kang, Julian McAuley, ICDM, 2018. Read Paper

  2. Item recommendation on monotonic behavior chains, Mengting Wan, Julian McAuley, RecSys, 2018. Read Paper

  3. Generating and personalizing bundle recommendations on Steam, Apurva Pathak, Kshitiz Gupta, Julian McAuley, SIGIR, 2017. Read Paper

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