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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'groundtruth_kwargs' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 642, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 457, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'groundtruth_kwargs' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1847, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 661, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 457, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'groundtruth_kwargs' with no child field to Parquet. Consider adding a dummy child field.
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 1451, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1858, 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.
episode int64 | episode_seed int64 | split string | timestamp string | batch_dir string | init_args dict | run_args dict | stats dict | history list | extra_state null | hash string |
|---|---|---|---|---|---|---|---|---|---|---|
0 | 1,608,637,542 | train | 2025-09-22T05:34:40.886131 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":1608637542,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 6,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | 0237f10144ded12f8eef4a4f35cc5dd5f530a12f7dfd6e66aa2d80a99d76b0ec |
1 | 3,421,126,067 | train | 2025-09-22T05:34:42.749041 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":3421126067,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 6,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | 70a0894e23ef3cd6e61818bf4f843378a1ca48ab4364b2c97d77bdf89795d5c2 |
2 | 4,083,286,876 | train | 2025-09-22T05:34:44.601710 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":4083286876,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 7,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | e66c7c20fad92dafa493cfc8ca3a9ec2d2e8299b83b9f848e3ffdccb22b5193f |
3 | 787,846,414 | train | 2025-09-22T05:34:46.420256 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":787846414,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"r(...TRUNCATED) | {
"step": 5,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | 0165de5a72ab66999653e34ec1d9604006648bbcea799fce7e28bb1b938726cd |
4 | 3,143,890,026 | train | 2025-09-22T05:34:48.255651 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":3143890026,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 6,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | 84a6a201f532e62573175bce20b7e128ba24f44ced8992ef7ac3021d53e2a978 |
5 | 3,348,747,335 | train | 2025-09-22T05:34:50.042917 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":3348747335,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 5,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | 403c3f9d2751e51b0e019a3bbc9fbc975c46dd0192e6758fcff3c7422db246de |
6 | 2,571,218,620 | train | 2025-09-22T05:34:51.993393 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":2571218620,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 7,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | 8e2a008ed7a2b3f8ebda654881768efbd24777fb6c28ba82a885eea0339ed4f7 |
7 | 2,563,451,924 | train | 2025-09-22T05:34:53.821299 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":2563451924,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 6,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | 89da953d12cd066d7614bdc2414f2ef71fec299f3cc9ce284e570cb39ffa2c24 |
8 | 670,094,950 | train | 2025-09-22T05:34:55.667052 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":670094950,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"r(...TRUNCATED) | {
"step": 6,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | cac58cdaadb0d75aa99b011354787a8c49cc807bd55cfa935f3b680613929873 |
9 | 1,914,837,113 | train | 2025-09-22T05:34:57.498814 | "/home/zwcolin/projects/VLM_Gym_Episodes_v5_2/colorization_clean/shards_20250922_053428/train/batch_(...TRUNCATED) | {"env_repr":"<OrderEnforcing<ColorCoordinatorEnv<colorization/ColorizationEnv-v2>>>","vlm_repr":"<gy(...TRUNCATED) | {"render":false,"seed":1914837113,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 6,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are performing a color-matching task. You see two images side by side:\n- L(...TRUNCATED) | null | 64f6f1bbb8578055ecc2644aeb52bc193607c0956410b52eb5f90bd0b8b8f158 |
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