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Datasets:
AngryBacteria
/
league_of_legends

Languages:
English
Tags:
gaming
License:
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/AngryBacteria/league_of_legends@477404f532b1014b7fc61c3b1c024e988f883a26/match_v5.json.
Traceback:    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 2998, 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 1918, 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 2093, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1576, 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 279, 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 172, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/AngryBacteria/league_of_legends@477404f532b1014b7fc61c3b1c024e988f883a26/match_v5.json.

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League of Legends dataset

This dataset contains detailed information from over 13'000 League of Legends matches, collected through the official Riot Games API. The data provides rich insights into player performance, game progression, and strategic decision-making.

Dataset Structure

The dataset is provided in BSON-JSON format, optimized for MongoDB database integration. It consists of two primary components:

  • Match_V5 (1.3GB): The Match Summary component captures key performance metrics and outcomes for each match. This includes champion selections and bans, individual player performance metrics like kills and assists, economic indicators such as gold earned, objective control statistics, team compositions, and overall match duration and outcome.
  • Match_V5 Timeline (14.4 GB): The Timeline component provides time-series data captured every 60 seconds throughout each match. This includes timestamps for significant events with connected data such as the XY-coordinates.
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