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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 1456, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
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 null | init_args dict | run_args dict | stats dict | history list | extra_state string | hash string |
|---|---|---|---|---|---|---|---|---|---|---|
0 | 1,608,637,542 | train | 2025-09-19T08:36:42.456635 | null | {
"env_repr": "<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>",
"vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7490f2174990>",
"max_steps": 25,
"abs_size": 336,
"master_seed": 42,
"max_long_side": 336,
"image_quality": null,
"interactor_type": "GroundtruthInteractor",
"groundtruth_strategy": "guess_only",
"groundtruth_kwargs": {},
"enable_reasoning": true,
"reasoner_class": null
} | {
"render": false,
"seed": 1608637542,
"verbose": false,
"save_verbose": false,
"elicit_verbalization": true,
"repeat_instructions": false,
"include_env_feedback": true,
"num_interaction_history": 0,
"widget_log": false,
"autosave_path": null,
"save_history_at_episode_end": false
} | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [
{
"step": 0,
"prompt": "You are solving a license_plate-counting task. Count the number of license_plate in the image. You can place dots to mark instances and then record your final count.\n\nAvailable actions:\n1. 'mark': Place a dot at normalized coordinates. Format: `('mark', (x, y))` where x and y are ... | license_plate | d5949310582425fce7565f1d0a25bddd0f2850bade83d07dd2523fe7f1baa2b4 |
1 | 3,421,126,067 | train | 2025-09-19T08:36:42.586145 | null | {"env_repr":"<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>","vlm_repr":"<gymnasium.(...TRUNCATED) | {"render":false,"seed":3421126067,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are solving a snowboard-counting task. Count the number of snowboard in the(...TRUNCATED) | snowboard | e36204c02be5706171d58f292b40289535555a80a6a4dcbb064688e02837d411 |
2 | 4,083,286,876 | train | 2025-09-19T08:36:42.734957 | null | {"env_repr":"<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>","vlm_repr":"<gymnasium.(...TRUNCATED) | {"render":false,"seed":4083286876,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are solving a gull-counting task. Count the number of gull in the image. Yo(...TRUNCATED) | gull | 034b94d2bc9c9ee91c9d8b255879cb08f89a29251ccca8c69f6059ea10287fd4 |
3 | 787,846,414 | train | 2025-09-19T08:36:42.846383 | null | {"env_repr":"<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>","vlm_repr":"<gymnasium.(...TRUNCATED) | {"render":false,"seed":787846414,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"r(...TRUNCATED) | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are solving a folding_chair-counting task. Count the number of folding_chai(...TRUNCATED) | folding_chair | 35a52e28998981769a2f8c57d9b5b97f8034a602b38ac1a5b1376081b5a59d86 |
4 | 3,143,890,026 | train | 2025-09-19T08:36:42.978741 | null | {"env_repr":"<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>","vlm_repr":"<gymnasium.(...TRUNCATED) | {"render":false,"seed":3143890026,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are solving a bun-counting task. Count the number of bun in the image. You (...TRUNCATED) | bun | d568ec3f5fdd366242484ee281a34d3cc000010cf40345d5eef917076d3effb4 |
5 | 3,348,747,335 | train | 2025-09-19T08:36:43.136954 | null | {"env_repr":"<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>","vlm_repr":"<gymnasium.(...TRUNCATED) | {"render":false,"seed":3348747335,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are solving a soccer_ball-counting task. Count the number of soccer_ball in(...TRUNCATED) | soccer_ball | fb801003f95c262dc322d5ac73885ec36956f5902e54d81a79e6e0bddcbd7071 |
6 | 2,571,218,620 | train | 2025-09-19T08:36:43.275327 | null | {"env_repr":"<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>","vlm_repr":"<gymnasium.(...TRUNCATED) | {"render":false,"seed":2571218620,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are solving a wineglass-counting task. Count the number of wineglass in the(...TRUNCATED) | wineglass | e75e688ab47754a7ba2a91e3d78bb43f08084c73ea05be49ed71f8c2414a6126 |
7 | 2,563,451,924 | train | 2025-09-19T08:36:43.374936 | null | {"env_repr":"<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>","vlm_repr":"<gymnasium.(...TRUNCATED) | {"render":false,"seed":2563451924,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are solving a windshield_wiper-counting task. Count the number of windshiel(...TRUNCATED) | windshield_wiper | a38fb20bb7aaf9b9df157bb81138993fd18dc78fbcdd8d8b80a6f8c99e202424 |
8 | 670,094,950 | train | 2025-09-19T08:36:43.506273 | null | {"env_repr":"<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>","vlm_repr":"<gymnasium.(...TRUNCATED) | {"render":false,"seed":670094950,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"r(...TRUNCATED) | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are solving a sheep-counting task. Count the number of sheep in the image. (...TRUNCATED) | sheep | 38bc4acc75b0e62578ce958b6d5172655ba1f03ccfb0d38ec82036adb09525dc |
9 | 1,914,837,113 | train | 2025-09-19T08:36:43.645494 | null | {"env_repr":"<OrderEnforcing<CountingLVISEnv<counting/LVISCountingEnv-v0>>>","vlm_repr":"<gymnasium.(...TRUNCATED) | {"render":false,"seed":1914837113,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED) | {
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
} | [{"step":0,"prompt":"You are solving a drawer-counting task. Count the number of drawer in the image(...TRUNCATED) | drawer | 15d92ae4e977e1f2913ffce02ef0beb53d9af825748a397e2983a0a8cd017424 |
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