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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
mid: string
srand: int64
quan: int64
users: list<item: string>
  child 0, item: string
end: string
winner: int64
zimo: bool
dealin: int64
fan_cnt: int64
fans: list<item: list<item: string>>
  child 0, item: list<item: string>
      child 0, item: string
scores: list<item: int64>
  child 0, item: int64
n_disc: int64
errs: struct<>
logs: null
success: bool
_mid: string
viewurl: string
initdata: string
status: string
players: list<item: struct<name: string, imgid: string>>
  child 0, item: struct<name: string, imgid: string>
      child 0, name: string
      child 1, imgid: string
to
{'status': Value('string'), 'logs': List(Json(decode=True)), 'players': List({'name': Value('string'), 'imgid': Value('string')}), 'initdata': Value('string'), 'viewurl': Value('string'), 'success': Value('bool'), '_mid': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              mid: string
              srand: int64
              quan: int64
              users: list<item: string>
                child 0, item: string
              end: string
              winner: int64
              zimo: bool
              dealin: int64
              fan_cnt: int64
              fans: list<item: list<item: string>>
                child 0, item: list<item: string>
                    child 0, item: string
              scores: list<item: int64>
                child 0, item: int64
              n_disc: int64
              errs: struct<>
              logs: null
              success: bool
              _mid: string
              viewurl: string
              initdata: string
              status: string
              players: list<item: struct<name: string, imgid: string>>
                child 0, item: struct<name: string, imgid: string>
                    child 0, name: string
                    child 1, imgid: string
              to
              {'status': Value('string'), 'logs': List(Json(decode=True)), 'players': List({'name': Value('string'), 'imgid': Value('string')}), 'initdata': Value('string'), 'viewurl': Value('string'), 'success': Value('bool'), '_mid': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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status
string
logs
list
players
list
initdata
string
viewurl
string
success
bool
_mid
string
finished
[ { "keep_running": false, "memory": 227, "output": { "command": "request", "content": { "0": "0 0 0", "1": "0 1 0", "2": "0 2 0", "3": "0 3 0" }, "display": { "action": "INIT", "canHu": [ 0, 0, 0, ...
[ { "name": "[player152]player2", "imgid": "/avatar/6a12572eb3075a37ae0a1760.png" }, { "name": "[kong]shiro", "imgid": "/avatar/691d732d36184360c6f585e7.png" }, { "name": "[QiuQiuR]丘丘人", "imgid": "/avatar/64479d3637d38a1cc585553e.png" }, { "name": "[moyu]kdens3", "imgid": "...
{"quan":0,"srand":2143175072,"walltiles":"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3 W2 W6 B4 T8 B9 W4 W5 T2 B9 J1 B8 J1 T9 F1 B4 B3 T1 T5 W3 W8 W3 F2 B5 W9 T7 B7 B2 F4 B5 W7 W1 T8 F2 T9 T4 B8 W8 B6 J2 W8 T3 B6 F4 W4 F3 B3 B2 W6 B1 B1 B8 T1 B1 T3 B2 W1 B8 T5 W1 W8 T2 B9 T5 F4 B3 T7 W4 T2 B2 W1 W7 W9 T2 T3 T4 T1...
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f155b
finished
[ { "keep_running": false, "memory": 215, "output": { "command": "request", "content": { "0": "0 0 0", "1": "0 1 0", "2": "0 2 0", "3": "0 3 0" }, "display": { "action": "INIT", "canHu": [ 0, 0, 0, ...
[ { "name": "[moyu]kdens3", "imgid": "/avatar/6a1a779558ebe27b1977016b.png" }, { "name": "[kong]shiro", "imgid": "/avatar/691d732d36184360c6f585e7.png" }, { "name": "[player152]player2", "imgid": "/avatar/6a12572eb3075a37ae0a1760.png" }, { "name": "[QiuQiuR]丘丘人", "imgid": "...
{"quan":0,"srand":2143175072,"walltiles":"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3 W2 W6 B4 T8 B9 W4 W5 T2 B9 J1 B8 J1 T9 F1 B4 B3 T1 T5 W3 W8 W3 F2 B5 W9 T7 B7 B2 F4 B5 W7 W1 T8 F2 T9 T4 B8 W8 B6 J2 W8 T3 B6 F4 W4 F3 B3 B2 W6 B1 B1 B8 T1 B1 T3 B2 W1 B8 T5 W1 W8 T2 B9 T5 F4 B3 T7 W4 T2 B2 W1 W7 W9 T2 T3 T4 T1...
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f1574
finished
[ { "keep_running": false, "memory": 2, "output": { "command": "request", "content": { "0": "0 0 0", "1": "0 1 0", "2": "0 2 0", "3": "0 3 0" }, "display": { "action": "INIT", "canHu": [ 0, 0, 0, ...
[ { "name": "[QiuQiuR]丘丘人", "imgid": "/avatar/64479d3637d38a1cc585553e.png" }, { "name": "[moyu]kdens3", "imgid": "/avatar/6a1a779558ebe27b1977016b.png" }, { "name": "[kong]shiro", "imgid": "/avatar/691d732d36184360c6f585e7.png" }, { "name": "[player152]player2", "imgid": "...
{"quan":0,"srand":2143175072,"walltiles":"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3 W2 W6 B4 T8 B9 W4 W5 T2 B9 J1 B8 J1 T9 F1 B4 B3 T1 T5 W3 W8 W3 F2 B5 W9 T7 B7 B2 F4 B5 W7 W1 T8 F2 T9 T4 B8 W8 B6 J2 W8 T3 B6 F4 W4 F3 B3 B2 W6 B1 B1 B8 T1 B1 T3 B2 W1 B8 T5 W1 W8 T2 B9 T5 F4 B3 T7 W4 T2 B2 W1 W7 W9 T2 T3 T4 T1...
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f158d
finished
[{"keep_running":false,"memory":148,"output":{"command":"request","content":{"0":"0 0 0","1":"0 1 0"(...TRUNCATED)
[{"name":"[QiuQiuR]丘丘人","imgid":"/avatar/64479d3637d38a1cc585553e.png"},{"name":"[moyu]kdens3"(...TRUNCATED)
"{\"quan\":0,\"srand\":2143175072,\"walltiles\":\"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3(...TRUNCATED)
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f1588
finished
[{"keep_running":false,"memory":325,"output":{"command":"request","content":{"0":"0 0 0","1":"0 1 0"(...TRUNCATED)
[{"name":"[kong]shiro","imgid":"/avatar/691d732d36184360c6f585e7.png"},{"name":"[player152]player2",(...TRUNCATED)
"{\"quan\":0,\"srand\":2143175072,\"walltiles\":\"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3(...TRUNCATED)
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f15a1
finished
[{"keep_running":false,"memory":313,"output":{"command":"request","content":{"0":"0 0 0","1":"0 1 0"(...TRUNCATED)
[{"name":"[moyu]kdens3","imgid":"/avatar/6a1a779558ebe27b1977016b.png"},{"name":"[QiuQiuR]丘丘人"(...TRUNCATED)
"{\"quan\":0,\"srand\":2143175072,\"walltiles\":\"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3(...TRUNCATED)
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f156f
finished
[{"keep_running":false,"memory":242,"output":{"command":"request","content":{"0":"0 0 0","1":"0 1 0"(...TRUNCATED)
[{"name":"[QiuQiuR]丘丘人","imgid":"/avatar/64479d3637d38a1cc585553e.png"},{"name":"[player152]pl(...TRUNCATED)
"{\"quan\":0,\"srand\":2143175072,\"walltiles\":\"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3(...TRUNCATED)
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f1583
finished
[{"keep_running":false,"memory":215,"output":{"command":"request","content":{"0":"0 0 0","1":"0 1 0"(...TRUNCATED)
[{"name":"[kong]shiro","imgid":"/avatar/691d732d36184360c6f585e7.png"},{"name":"[QiuQiuR]丘丘人",(...TRUNCATED)
"{\"quan\":0,\"srand\":2143175072,\"walltiles\":\"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3(...TRUNCATED)
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f15b5
finished
[{"keep_running":false,"memory":50,"output":{"command":"request","content":{"0":"0 0 0","1":"0 1 0",(...TRUNCATED)
[{"name":"[player152]player2","imgid":"/avatar/6a12572eb3075a37ae0a1760.png"},{"name":"[moyu]kdens3"(...TRUNCATED)
"{\"quan\":0,\"srand\":2143175072,\"walltiles\":\"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3(...TRUNCATED)
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f1547
finished
[{"keep_running":false,"memory":280,"output":{"command":"request","content":{"0":"0 0 0","1":"0 1 0"(...TRUNCATED)
[{"name":"[QiuQiuR]丘丘人","imgid":"/avatar/64479d3637d38a1cc585553e.png"},{"name":"[player152]pl(...TRUNCATED)
"{\"quan\":0,\"srand\":2143175072,\"walltiles\":\"W4 F3 W7 T7 W6 B1 B5 W3 W3 W9 T6 B3 T5 W2 B6 J1 J3(...TRUNCATED)
/gameplayers/Chinese-Standard-Mahjong.html
true
6a4eba831ba515095a1f157e
End of preview.

IJCAI-2026 MCR Mahjong — Training Corpora

Behavior-cloning / distillation corpora for the IJCAI-2026 MCR Mahjong campaign (entry kdens3). Code: https://github.com/SuuTTT/IJCAI-mahjong. Companion repos: models Dannibal/ijcai-mahjong-ckpts-2026, eval testset Dannibal/mcr-final2026-testset.

Files

File Size Description
cooked_single.npz 184M Base BC training corpus cooked from the 2025 agents pool (features + move labels).
cooked_quarter.npz 59M Quarter-size subset of cooked_single for fast iteration / ablations.
final2_cai_corpus.npz 23M Final-2 CAI (champion-imitation) corpus harvested from final-stage games.
final2_bc_corpus.npz 30M Final-2 behavior-cloning corpus.
final2_all.jsonl.gz 46M Raw final-2 game replays (one game per line).
final2_games_summary.jsonl.gz 0.2M Per-game summary rows for the final-2 harvest.

The .npz files are numpy archives (load with numpy.load(..., allow_pickle=False)); the harvest/build scripts (harvest.py, build_corpus_cai.py, analyze.py) are in campaign/final2_harvest/ of the code repo.

Not included (regenerable)

Self-play shard corpora used for the opponent-belief and deal-in predictors (oppbelief ~4.3G, oppdealin ~1.8G) are regenerable from the self-play generators in train/caiest_repro and are not stored here.

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