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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
format_version: int64
cache_key: struct<format_version: int64, corpus_sha256: string, encoder_sha256: string, bc_max_decisions: int64 (... 30 chars omitted)
child 0, format_version: int64
child 1, corpus_sha256: string
child 2, encoder_sha256: string
child 3, bc_max_decisions: int64
child 4, n_id: int64
child 5, n_float: int64
n_games: int64
shard_size: int64
shards: list<item: struct<file: string, n_traj: int64, sha256: string>>
child 0, item: struct<file: string, n_traj: int64, sha256: string>
child 0, file: string
child 1, n_traj: int64
child 2, sha256: string
games_file: string
games_sha256: string
created_at: double
dataset_path: string
has_outcome: bool
game_id: string
sides: struct<p1: struct<n_records: int64, noisy: bool, violations: int64, kept: bool, reward: double, shar (... 138 chars omitted)
child 0, p1: struct<n_records: int64, noisy: bool, violations: int64, kept: bool, reward: double, shard: int64, r (... 10 chars omitted)
child 0, n_records: int64
child 1, noisy: bool
child 2, violations: int64
child 3, kept: bool
child 4, reward: double
child 5, shard: int64
child 6, row: int64
child 1, p2: struct<n_records: int64, noisy: bool, violations: int64, kept: bool, reward: double, shard: int64, r (... 10 chars omitted)
child 0, n_records: int64
child 1, noisy: bool
child 2, violations: int64
child 3, kept: bool
child 4, reward: double
child 5, shard: int64
child 6, row: int64
to
{'game_id': Value('string'), 'has_outcome': Value('bool'), 'sides': {'p1': {'n_records': Value('int64'), 'noisy': Value('bool'), 'violations': Value('int64'), 'kept': Value('bool'), 'reward': Value('float64'), 'shard': Value('int64'), 'row': Value('int64')}, 'p2': {'n_records': Value('int64'), 'noisy': Value('bool'), 'violations': Value('int64'), 'kept': Value('bool'), 'reward': Value('float64'), 'shard': Value('int64'), 'row': Value('int64')}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
format_version: int64
cache_key: struct<format_version: int64, corpus_sha256: string, encoder_sha256: string, bc_max_decisions: int64 (... 30 chars omitted)
child 0, format_version: int64
child 1, corpus_sha256: string
child 2, encoder_sha256: string
child 3, bc_max_decisions: int64
child 4, n_id: int64
child 5, n_float: int64
n_games: int64
shard_size: int64
shards: list<item: struct<file: string, n_traj: int64, sha256: string>>
child 0, item: struct<file: string, n_traj: int64, sha256: string>
child 0, file: string
child 1, n_traj: int64
child 2, sha256: string
games_file: string
games_sha256: string
created_at: double
dataset_path: string
has_outcome: bool
game_id: string
sides: struct<p1: struct<n_records: int64, noisy: bool, violations: int64, kept: bool, reward: double, shar (... 138 chars omitted)
child 0, p1: struct<n_records: int64, noisy: bool, violations: int64, kept: bool, reward: double, shard: int64, r (... 10 chars omitted)
child 0, n_records: int64
child 1, noisy: bool
child 2, violations: int64
child 3, kept: bool
child 4, reward: double
child 5, shard: int64
child 6, row: int64
child 1, p2: struct<n_records: int64, noisy: bool, violations: int64, kept: bool, reward: double, shard: int64, r (... 10 chars omitted)
child 0, n_records: int64
child 1, noisy: bool
child 2, violations: int64
child 3, kept: bool
child 4, reward: double
child 5, shard: int64
child 6, row: int64
to
{'game_id': Value('string'), 'has_outcome': Value('bool'), 'sides': {'p1': {'n_records': Value('int64'), 'noisy': Value('bool'), 'violations': Value('int64'), 'kept': Value('bool'), 'reward': Value('float64'), 'shard': Value('int64'), 'row': Value('int64')}, 'p2': {'n_records': Value('int64'), 'noisy': Value('bool'), 'violations': Value('int64'), 'kept': Value('bool'), 'reward': Value('float64'), 'shard': Value('int64'), 'row': Value('int64')}}}
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 1694, 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 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
game_id string | has_outcome bool | sides dict |
|---|---|---|
baseline_simple-ts3-s3415260921-w00-g000 | true | {
"p1": {
"n_records": 12,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 12,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 0
}
} |
baseline_simple-ts3-s3415260921-w00-g001 | true | {
"p1": {
"n_records": 8,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 1
},
"p2": {
"n_records": 8,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g002 | true | {
"p1": {
"n_records": 10,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 2
}
} |
baseline_simple-ts3-s3415260921-w00-g003 | true | {
"p1": {
"n_records": 10,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 3
},
"p2": {
"n_records": 10,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g004 | true | {
"p1": {
"n_records": 11,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 4
}
} |
baseline_simple-ts3-s3415260921-w00-g005 | true | {
"p1": {
"n_records": 13,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 5
},
"p2": {
"n_records": 12,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g006 | true | {
"p1": {
"n_records": 14,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 14,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 6
}
} |
baseline_simple-ts3-s3415260921-w00-g007 | true | {
"p1": {
"n_records": 14,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 7
},
"p2": {
"n_records": 13,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g008 | true | {
"p1": {
"n_records": 6,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 7,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 8
}
} |
baseline_simple-ts3-s3415260921-w00-g009 | true | {
"p1": {
"n_records": 13,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 9
},
"p2": {
"n_records": 13,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g010 | true | {
"p1": {
"n_records": 11,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 12,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 10
}
} |
baseline_simple-ts3-s3415260921-w00-g011 | true | {
"p1": {
"n_records": 10,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 11
},
"p2": {
"n_records": 10,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g012 | true | {
"p1": {
"n_records": 5,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 7,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 12
}
} |
baseline_simple-ts3-s3415260921-w00-g013 | true | {
"p1": {
"n_records": 7,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 13
},
"p2": {
"n_records": 8,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g014 | true | {
"p1": {
"n_records": 9,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 10,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 14
}
} |
baseline_simple-ts3-s3415260921-w00-g015 | true | {
"p1": {
"n_records": 9,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 15
},
"p2": {
"n_records": 9,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g016 | true | {
"p1": {
"n_records": 12,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 13,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 16
}
} |
baseline_simple-ts3-s3415260921-w00-g017 | true | {
"p1": {
"n_records": 12,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 17
},
"p2": {
"n_records": 12,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g018 | true | {
"p1": {
"n_records": 10,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 10,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 18
}
} |
baseline_simple-ts3-s3415260921-w00-g019 | true | {
"p1": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 19
},
"p2": {
"n_records": 11,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g020 | true | {
"p1": {
"n_records": 12,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 20
}
} |
baseline_simple-ts3-s3415260921-w00-g021 | true | {
"p1": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 21
},
"p2": {
"n_records": 11,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g022 | true | {
"p1": {
"n_records": 10,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 9,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 22
}
} |
baseline_simple-ts3-s3415260921-w00-g023 | true | {
"p1": {
"n_records": 9,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 23
},
"p2": {
"n_records": 9,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g024 | true | {
"p1": {
"n_records": 11,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 12,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 24
}
} |
baseline_simple-ts3-s3415260921-w00-g025 | true | {
"p1": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 25
},
"p2": {
"n_records": 12,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g026 | true | {
"p1": {
"n_records": 8,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 9,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 26
}
} |
baseline_simple-ts3-s3415260921-w00-g027 | true | {
"p1": {
"n_records": 9,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 27
},
"p2": {
"n_records": 10,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g028 | true | {
"p1": {
"n_records": 10,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 28
}
} |
baseline_simple-ts3-s3415260921-w00-g029 | true | {
"p1": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 29
},
"p2": {
"n_records": 11,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g030 | true | {
"p1": {
"n_records": 21,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 22,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 30
}
} |
baseline_simple-ts3-s3415260921-w00-g031 | true | {
"p1": {
"n_records": 15,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 31
},
"p2": {
"n_records": 16,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g032 | true | {
"p1": {
"n_records": 9,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 8,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 32
}
} |
baseline_simple-ts3-s3415260921-w00-g033 | true | {
"p1": {
"n_records": 9,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 33
},
"p2": {
"n_records": 9,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g034 | true | {
"p1": {
"n_records": 9,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 9,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 34
}
} |
baseline_simple-ts3-s3415260921-w00-g035 | true | {
"p1": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 35
},
"p2": {
"n_records": 11,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
}
} |
baseline_simple-ts3-s3415260921-w00-g036 | true | {
"p1": {
"n_records": 10,
"noisy": true,
"violations": 0,
"kept": false,
"reward": 0,
"shard": -1,
"row": -1
},
"p2": {
"n_records": 10,
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baseline_simple-ts3-s3415260921-w00-g037 | true | {
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baseline_simple-ts3-s3415260921-w00-g038 | true | {
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baseline_simple-ts3-s3415260921-w00-g039 | true | {
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baseline_simple-ts3-s3415260921-w00-g040 | true | {
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baseline_simple-ts3-s3415260921-w00-g041 | true | {
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baseline_simple-ts3-s3415260921-w00-g042 | true | {
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baseline_simple-ts3-s3415260921-w00-g043 | true | {
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baseline_simple-ts3-s3415260921-w00-g044 | true | {
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baseline_simple-ts3-s3415260921-w00-g045 | true | {
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baseline_simple-ts3-s3415260921-w00-g046 | true | {
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baseline_simple-ts3-s3415260921-w00-g047 | true | {
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baseline_simple-ts3-s3415260921-w00-g048 | true | {
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baseline_simple-ts3-s3415260921-w00-g049 | true | {
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baseline_simple-ts3-s3415260921-w00-g050 | true | {
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baseline_simple-ts3-s3415260921-w00-g051 | true | {
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baseline_simple-ts3-s3415260921-w00-g052 | true | {
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baseline_simple-ts3-s3415260921-w00-g053 | true | {
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baseline_simple-ts3-s3415260921-w00-g054 | true | {
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baseline_simple-ts3-s3415260921-w00-g055 | true | {
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baseline_simple-ts3-s3415260921-w00-g056 | true | {
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baseline_simple-ts3-s3415260921-w00-g057 | true | {
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baseline_simple-ts3-s3415260921-w00-g058 | true | {
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baseline_simple-ts3-s3415260921-w00-g059 | true | {
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baseline_simple-ts3-s3415260921-w00-g060 | true | {
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baseline_simple-ts3-s3415260921-w00-g061 | true | {
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baseline_simple-ts3-s3415260921-w00-g062 | true | {
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baseline_simple-ts3-s3415260921-w00-g063 | true | {
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baseline_simple-ts3-s3415260921-w00-g064 | true | {
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baseline_simple-ts3-s3415260921-w00-g065 | true | {
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baseline_simple-ts3-s3415260921-w00-g066 | true | {
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baseline_simple-ts3-s3415260921-w00-g067 | true | {
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baseline_simple-ts3-s3415260921-w00-g068 | true | {
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baseline_simple-ts3-s3415260921-w00-g069 | true | {
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baseline_simple-ts3-s3415260921-w00-g070 | true | {
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baseline_simple-ts3-s3415260921-w00-g071 | true | {
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baseline_simple-ts3-s3415260921-w00-g072 | true | {
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baseline_simple-ts3-s3415260921-w00-g073 | true | {
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baseline_simple-ts3-s3415260921-w00-g074 | true | {
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baseline_simple-ts3-s3415260921-w00-g075 | true | {
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baseline_simple-ts3-s3415260921-w00-g076 | true | {
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baseline_simple-ts3-s3415260921-w00-g077 | true | {
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baseline_simple-ts3-s3415260921-w00-g078 | true | {
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baseline_simple-ts3-s3415260921-w00-g079 | true | {
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baseline_simple-ts3-s3415260921-w00-g080 | true | {
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baseline_simple-ts3-s3415260921-w00-g081 | true | {
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baseline_simple-ts3-s3415260921-w00-g082 | true | {
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baseline_simple-ts3-s3415260921-w00-g083 | true | {
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baseline_simple-ts3-s3415260921-w00-g084 | true | {
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baseline_simple-ts3-s3415260921-w00-g085 | true | {
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baseline_simple-ts3-s3415260921-w00-g086 | true | {
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baseline_simple-ts3-s3415260921-w00-g087 | true | {
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"row": 122
}
} |
baseline_simple-ts3-s3415260921-w00-g088 | true | {
"p1": {
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"reward": 1,
"shard": 0,
"row": 123
},
"p2": {
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"kept": true,
"reward": -1,
"shard": 0,
"row": 124
}
} |
baseline_simple-ts3-s3415260921-w00-g089 | true | {
"p1": {
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"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 125
},
"p2": {
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"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 126
}
} |
baseline_simple-ts3-s3415260921-w00-g090 | true | {
"p1": {
"n_records": 12,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 127
},
"p2": {
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"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 128
}
} |
baseline_simple-ts3-s3415260921-w00-g091 | true | {
"p1": {
"n_records": 6,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 129
},
"p2": {
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"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 130
}
} |
baseline_simple-ts3-s3415260921-w00-g092 | true | {
"p1": {
"n_records": 10,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 131
},
"p2": {
"n_records": 9,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 132
}
} |
baseline_simple-ts3-s3415260921-w00-g093 | true | {
"p1": {
"n_records": 13,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 133
},
"p2": {
"n_records": 13,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 134
}
} |
baseline_simple-ts3-s3415260921-w00-g094 | true | {
"p1": {
"n_records": 14,
"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 135
},
"p2": {
"n_records": 14,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 136
}
} |
baseline_simple-ts3-s3415260921-w00-g095 | true | {
"p1": {
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"noisy": false,
"violations": 0,
"kept": true,
"reward": -1,
"shard": 0,
"row": 137
},
"p2": {
"n_records": 12,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 138
}
} |
baseline_simple-ts3-s3415260921-w00-g096 | true | {
"p1": {
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"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 139
},
"p2": {
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"kept": true,
"reward": -1,
"shard": 0,
"row": 140
}
} |
baseline_simple-ts3-s3415260921-w00-g097 | true | {
"p1": {
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"kept": true,
"reward": -1,
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"row": 141
},
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"kept": true,
"reward": 1,
"shard": 0,
"row": 142
}
} |
baseline_simple-ts3-s3415260921-w00-g098 | true | {
"p1": {
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},
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"kept": true,
"reward": 1,
"shard": 0,
"row": 144
}
} |
baseline_simple-ts3-s3415260921-w00-g099 | true | {
"p1": {
"n_records": 11,
"noisy": false,
"violations": 0,
"kept": true,
"reward": 1,
"shard": 0,
"row": 145
},
"p2": {
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"row": 146
}
} |
End of preview.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
pokebot BC prep-cache v2 (zstd)
Prepared-tensor cache for behavior-cloning training of the pokebot RL
pilot (gen9randombattle), derived deterministically from the teacher
corpus Looyyd/pokebot-bc-corpus-v2
(500k self-play games, ~20.6M kept decisions).
- One directory per prep-config hash (currently
0e8c66f7107bbc1e387a), containingshard-NNNN.npz.zst(encoder outputs + targets, ~45 shards),games.jsonl.zst,manifest.json.zstandSHA256SUMS(checksums of the.zstfiles). - The
.npzare numpy stored (uncompressed) archives of highly sparse tensors: 103 GB raw → 1.3 GB compressed (~79x). Decompress before training:
zstd -d --rm -T0 *.zst # inside the config-hash directory
sha256sum -c SHA256SUMS # (run BEFORE decompressing)
The out-of-core BC trainer (rl/pokebot_rl/ in the pokebot repo) streams
these shards directly; it indexed this cache in ~90 s with bounded RSS.
Regenerating the cache from the corpus takes a few hours on a 16-vcpu
pod — this backup exists so nobody has to.
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