Embodied-CoT/embodied_features_bridge · Can't use the dataset.

Get the following error when trying to load the dataset using, from datasets import load_dataset
ValueError                                Traceback (most recent call last)
File ~/anaconda3/envs/embodied/lib/python3.9/site-packages/datasets/builder.py:1855, in ArrowBasedBuilder._prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
   1854 _time = time.time()
-> 1855 for _, table in generator:
   1856     if max_shard_size is not None and writer._num_bytes > max_shard_size:

File ~/anaconda3/envs/embodied/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py:172, in Json._generate_tables(self, files)
    169     logger.error(
    170         f"Failed to convert pandas DataFrame to Arrow Table from file '{file}' with error {type(e)}: {e}"
    171     )
--> 172     raise ValueError(
    173         f"Failed to convert pandas DataFrame to Arrow Table from file {file}."
    174     ) from None
    175 yield file_idx, self._cast_table(pa_table)

ValueError: Failed to convert pandas DataFrame to Arrow Table from file /data2/HF/hub/datasets--Embodied-CoT--embodied_features_bridge/snapshots/854ee59c7c76868d63fac37c33e0f031ed678014/embodied_features_bridge.json.

The above exception was the direct cause of the following exception:

DatasetGenerationError                    Traceback (most recent call last)
Cell In[2], line 4
      1 from datasets import load_dataset
      3 # Load the dataset
----> 4 dataset = load_dataset("Embodied-CoT/embodied_features_bridge")  # Replace with actual dataset name
      6 # Show basic information
      7 print(dataset)

File ~/anaconda3/envs/embodied/lib/python3.9/site-packages/datasets/load.py:2084, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, keep_in_memory, save_infos, revision, token, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
   2081     return builder_instance.as_streaming_dataset(split=split)
   2083 # Download and prepare data
-> 2084 builder_instance.download_and_prepare(
   2085     download_config=download_config,
   2086     download_mode=download_mode,
   2087     verification_mode=verification_mode,
   2088     num_proc=num_proc,
   2089     storage_options=storage_options,
   2090 )
   2092 # Build dataset for splits
   2093 keep_in_memory = (
   2094     keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
   2095 )

File ~/anaconda3/envs/embodied/lib/python3.9/site-packages/datasets/builder.py:925, in DatasetBuilder.download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, dl_manager, base_path, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)
    923 if num_proc is not None:
    924     prepare_split_kwargs["num_proc"] = num_proc
--> 925 self._download_and_prepare(
    926     dl_manager=dl_manager,
    927     verification_mode=verification_mode,
    928     **prepare_split_kwargs,
    929     **download_and_prepare_kwargs,
    930 )
    931 # Sync info
    932 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values())

File ~/anaconda3/envs/embodied/lib/python3.9/site-packages/datasets/builder.py:1001, in DatasetBuilder._download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
    997 split_dict.add(split_generator.split_info)
    999 try:
   1000     # Prepare split will record examples associated to the split
-> 1001     self._prepare_split(split_generator, **prepare_split_kwargs)
   1002 except OSError as e:
   1003     raise OSError(
   1004         "Cannot find data file. "
   1005         + (self.manual_download_instructions or "")
   1006         + "\nOriginal error:\n"
   1007         + str(e)
   1008     ) from None

File ~/anaconda3/envs/embodied/lib/python3.9/site-packages/datasets/builder.py:1742, in ArrowBasedBuilder._prepare_split(self, split_generator, file_format, num_proc, max_shard_size)
   1740 job_id = 0
   1741 with pbar:
-> 1742     for job_id, done, content in self._prepare_split_single(
   1743         gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
   1744     ):
   1745         if done:
   1746             result = content

File ~/anaconda3/envs/embodied/lib/python3.9/site-packages/datasets/builder.py:1898, in ArrowBasedBuilder._prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
   1896     if isinstance(e, DatasetGenerationError):
   1897         raise
-> 1898     raise DatasetGenerationError("An error occurred while generating the dataset") from e
   1900 yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths)

DatasetGenerationError: An error occurred while generating the dataset