Datasets:

avewright
/

exp183-rl-positions-a40

Tasks:

Reinforcement Learning

Tags:

chess

mcts

stockfish

License:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

Duplicate

Split (1)

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

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.

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: 35

Total file size:

2.97 MB

Chess RL positions (exp183 A40 soft+SF)

Contents

Layout

Position schema