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The dataset generation failed
Error code: DatasetGenerationError Exception: UnicodeDecodeError Message: 'utf-8' codec can't decode byte 0xa3 in position 8: invalid start byte Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1854, in _prepare_split_single for _, table in generator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables batch = f.read(self.config.chunksize) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 826, in read_with_retries out = read(*args, **kwargs) File "/usr/local/lib/python3.9/codecs.py", line 322, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 8: invalid start byte 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 1420, 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 1052, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1897, 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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[2025-02-18 12:55:51][muzero_segment_collector.py:797][INFO] collect end: |
episode_count: 1 |
envstep_count: 139 |
avg_envstep_per_episode: 139.0 |
avg_envstep_per_sec: 8.186926510621545 |
avg_episode_per_sec: 0.05889875187497515 |
collect_time: 16.978288472440095 |
reward_mean: 2.0 |
reward_std: 0.0 |
reward_max: 2.0 |
reward_min: 2.0 |
total_envstep_count: 1119 |
total_episode_count: 2 |
total_duration: 33.95657694488019 |
visit_entropy: 0.9475522736101346 |
[2025-02-18 12:58:26][muzero_segment_collector.py:797][INFO] collect end: |
episode_count: 2 |
envstep_count: 344 |
avg_envstep_per_episode: 172.0 |
avg_envstep_per_sec: 8.307133808422751 |
avg_episode_per_sec: 0.0482972895838532 |
collect_time: 41.410191280560845 |
reward_mean: 8.5 |
reward_std: 0.5 |
reward_max: 9.0 |
reward_min: 8.0 |
total_envstep_count: 1438 |
total_episode_count: 4 |
total_duration: 82.82038256112169 |
visit_entropy: 2.0683364996881384 |
[2025-02-18 12:59:05][muzero_segment_collector.py:797][INFO] collect end: |
episode_count: 1 |
envstep_count: 158 |
avg_envstep_per_episode: 158.0 |
avg_envstep_per_sec: 8.18815367576308 |
avg_episode_per_sec: 0.051823757441538484 |
collect_time: 19.296169351056477 |
reward_mean: 2.0 |
reward_std: 0.0 |
reward_max: 2.0 |
reward_min: 2.0 |
total_envstep_count: 1598 |
total_episode_count: 4 |
total_duration: 91.84508499804963 |
visit_entropy: 1.622471422479836 |
[2025-02-18 13:01:56][muzero_segment_collector.py:797][INFO] collect end: |
episode_count: 3 |
envstep_count: 625 |
avg_envstep_per_episode: 208.33333333333334 |
avg_envstep_per_sec: 8.324512780722461 |
avg_episode_per_sec: 0.03995766134746781 |
collect_time: 75.07946908885135 |
reward_mean: 8.666666666666666 |
reward_std: 1.699673171197595 |
reward_max: 11.0 |
reward_min: 7.0 |
total_envstep_count: 1860 |
total_episode_count: 10 |
total_duration: 280.04791341433065 |
visit_entropy: 1.8688732902734297 |
[2025-02-18 13:02:15][muzero_segment_collector.py:797][INFO] collect end: |
episode_count: 3 |
envstep_count: 662 |
avg_envstep_per_episode: 220.66666666666666 |
avg_envstep_per_sec: 8.214989981816501 |
avg_episode_per_sec: 0.03722805127711405 |
collect_time: 80.58439529023241 |
reward_mean: 1.6666666666666667 |
reward_std: 0.9428090415820634 |
reward_max: 3.0 |
reward_min: 1.0 |
total_envstep_count: 1915 |
total_episode_count: 10 |
total_duration: 278.4838557111523 |
visit_entropy: 2.0692348280462345 |
[2025-02-18 13:05:03][muzero_segment_collector.py:797][INFO] collect end: |
episode_count: 2 |
envstep_count: 488 |
avg_envstep_per_episode: 244.0 |
avg_envstep_per_sec: 8.314291120163402 |
avg_episode_per_sec: 0.03407496360722706 |
collect_time: 58.694119913185006 |
reward_mean: 9.5 |
reward_std: 0.5 |
reward_max: 10.0 |
reward_min: 9.0 |
total_envstep_count: 2338 |
total_episode_count: 14 |
total_duration: 456.1302731538856 |
visit_entropy: 1.9376968770054595 |
[2025-02-18 13:05:23][muzero_segment_collector.py:797][INFO] collect end: |
episode_count: 1 |
envstep_count: 245 |
avg_envstep_per_episode: 245.0 |
avg_envstep_per_sec: 8.223263887720442 |
avg_episode_per_sec: 0.03356434239885895 |
collect_time: 29.793522784286573 |
reward_mean: 1.0 |
reward_std: 0.0 |
reward_max: 1.0 |
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