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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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