Datasets:

avewright
/

exp183-rl-positions-a40

Tasks:

Reinforcement Learning

Tags:

chess

mcts

stockfish

License:

Dataset card Files Files and versions

xet

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train

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
n_positions: int64
iteration: int64
checkpoint: string
mode: string
n_games: int64
mcts_sims: int64
sf_full_strength: bool
sf_depth: int64
n_mcts: int64
n_sf: int64
avg_result: double
config: struct<mode: string, n_games: int64, mcts_sims: int64, mcts_batch_size: int64, mcts_c_puct: double,  (... 547 chars omitted)
  child 0, mode: string
  child 1, n_games: int64
  child 2, mcts_sims: int64
  child 3, mcts_batch_size: int64
  child 4, mcts_c_puct: double
  child 5, visit_temp: double
  child 6, ply_cap: int64
  child 7, sf_elo: int64
  child 8, sf_full_strength: bool
  child 9, sf_depth: int64
  child 10, sf_move_time: double
  child 11, root_noise_frac: double
  child 12, record_sf_moves: bool
  child 13, train_epochs: int64
  child 14, train_batch_size: int64
  child 15, train_lr: double
  child 16, value_weight: double
  child 17, grad_clip: double
  child 18, mix_sf_frac: double
  child 19, sf_shard_dir: null
  child 20, mix_sf_move_frac: double
  child 21, dataset_dir: string
  child 22, iterations: int64
  child 23, games_per_iter: int64
  child 24, eval_games: int64
  child 25, eval_sims: int64
  child 26, checkpoint: null
  child 27, prior_checkpoint: null
  child 28, output_dir: string
  child 29, use_fp16: bool
  child 30, use_bf16: bool
  child 31, num_workers: int64
shard_idx: int64
last_meta: struct<iteration: int64, checkpoint: string, mode: string, n_games: int64, mcts_sims: int64, sf_full (... 101 chars omitted)
  child 0, iteration: int64
  child 1, checkpoint: string
  child 2, mode: string
  child 3, n_games: int64
  child 4, mcts_sims: int64
  child 5, sf_full_strength: bool
  child 6, sf_depth: int64
  child 7, n_positions: int64
  child 8, n_mcts: int64
  child 9, n_sf: int64
  child 10, avg_result: double
shards: list<item: struct<path: string, n_positions: int64, n_mcts: int64, n_sf: int64, iteration: int64>>
  child 0, item: struct<path: string, n_positions: int64, n_mcts: int64, n_sf: int64, iteration: int64>
      child 0, path: string
      child 1, n_positions: int64
      child 2, n_mcts: int64
      child 3, n_sf: int64
      child 4, iteration: int64
to
{'n_positions': Value('int64'), 'n_mcts': Value('int64'), 'n_sf': Value('int64'), 'shards': List({'path': Value('string'), 'n_positions': Value('int64'), 'n_mcts': Value('int64'), 'n_sf': Value('int64'), 'iteration': Value('int64')}), 'last_meta': {'iteration': Value('int64'), 'checkpoint': Value('string'), 'mode': Value('string'), 'n_games': Value('int64'), 'mcts_sims': Value('int64'), 'sf_full_strength': Value('bool'), 'sf_depth': Value('int64'), 'n_positions': Value('int64'), 'n_mcts': Value('int64'), 'n_sf': Value('int64'), 'avg_result': Value('float64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              n_positions: int64
              iteration: int64
              checkpoint: string
              mode: string
              n_games: int64
              mcts_sims: int64
              sf_full_strength: bool
              sf_depth: int64
              n_mcts: int64
              n_sf: int64
              avg_result: double
              config: struct<mode: string, n_games: int64, mcts_sims: int64, mcts_batch_size: int64, mcts_c_puct: double,  (... 547 chars omitted)
                child 0, mode: string
                child 1, n_games: int64
                child 2, mcts_sims: int64
                child 3, mcts_batch_size: int64
                child 4, mcts_c_puct: double
                child 5, visit_temp: double
                child 6, ply_cap: int64
                child 7, sf_elo: int64
                child 8, sf_full_strength: bool
                child 9, sf_depth: int64
                child 10, sf_move_time: double
                child 11, root_noise_frac: double
                child 12, record_sf_moves: bool
                child 13, train_epochs: int64
                child 14, train_batch_size: int64
                child 15, train_lr: double
                child 16, value_weight: double
                child 17, grad_clip: double
                child 18, mix_sf_frac: double
                child 19, sf_shard_dir: null
                child 20, mix_sf_move_frac: double
                child 21, dataset_dir: string
                child 22, iterations: int64
                child 23, games_per_iter: int64
                child 24, eval_games: int64
                child 25, eval_sims: int64
                child 26, checkpoint: null
                child 27, prior_checkpoint: null
                child 28, output_dir: string
                child 29, use_fp16: bool
                child 30, use_bf16: bool
                child 31, num_workers: int64
              shard_idx: int64
              last_meta: struct<iteration: int64, checkpoint: string, mode: string, n_games: int64, mcts_sims: int64, sf_full (... 101 chars omitted)
                child 0, iteration: int64
                child 1, checkpoint: string
                child 2, mode: string
                child 3, n_games: int64
                child 4, mcts_sims: int64
                child 5, sf_full_strength: bool
                child 6, sf_depth: int64
                child 7, n_positions: int64
                child 8, n_mcts: int64
                child 9, n_sf: int64
                child 10, avg_result: double
              shards: list<item: struct<path: string, n_positions: int64, n_mcts: int64, n_sf: int64, iteration: int64>>
                child 0, item: struct<path: string, n_positions: int64, n_mcts: int64, n_sf: int64, iteration: int64>
                    child 0, path: string
                    child 1, n_positions: int64
                    child 2, n_mcts: int64
                    child 3, n_sf: int64
                    child 4, iteration: int64
              to
              {'n_positions': Value('int64'), 'n_mcts': Value('int64'), 'n_sf': Value('int64'), 'shards': List({'path': Value('string'), 'n_positions': Value('int64'), 'n_mcts': Value('int64'), 'n_sf': Value('int64'), 'iteration': Value('int64')}), 'last_meta': {'iteration': Value('int64'), 'checkpoint': Value('string'), 'mode': Value('string'), 'n_games': Value('int64'), 'mcts_sims': Value('int64'), 'sf_full_strength': Value('bool'), 'sf_depth': Value('int64'), 'n_positions': Value('int64'), 'n_mcts': Value('int64'), 'n_sf': Value('int64'), 'avg_result': Value('float64')}}
              because column names don't match

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Chess RL positions (exp183 A40 soft+SF)

Cumulative expert-iteration dataset from model MCTS vs full-strength Stockfish depth 8.

13,372 positions across 9 shards
6,109 soft MCTS (source=mcts: visit_dist + root_q)
7,263 hard SF moves (source=sf: chosen_move + SF score as root_q)

Layout

manifest.json
shards/shard_XXXXXX.pt
shards/shard_XXXXXX.json

Each .pt is {"positions": [...], "meta": {...}}.

Position schema

{
  "fen": "...",
  "source": "mcts" | "sf",
  "visit_dist": {move_idx: prob, ...},  # soft for mcts; one-hot for sf
  "root_q": float,                      # STM in [-1, 1]
  "chosen_move": int,
  "game_id": int,
}

Generated by experiments/exp183_selfplay.py in https://github.com/avewright/transform

Downloads last month: 15

Total file size:

2.97 MB

Chess RL positions (exp183 A40 soft+SF)

Contents

Layout

Position schema