Datasets:

birdsql

/

bird-critic-1.0-flash-exp

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The BIRD Team 17

I am unable to read the birdsql/bird-critic-1.0-flash-exp dataset. I get the following traceback:

KeyError Traceback (most recent call last)
Cell In[14], line 1
----> 1 dataset = load_dataset("birdsql/bird-critic-1.0-flash-exp")
3 # Print information about the dataset
4 print(dataset)

File ~/opt/anaconda3/lib/python3.9/site-packages/datasets/load.py:2556, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
2551 verification_mode = VerificationMode(
2552 (verification_mode or VerificationMode.BASIC_CHECKS) if not save_infos else VerificationMode.ALL_CHECKS
2553 )
2555 # Create a dataset builder
-> 2556 builder_instance = load_dataset_builder(
2557 path=path,
2558 name=name,
2559 data_dir=data_dir,
2560 data_files=data_files,
2561 cache_dir=cache_dir,
2562 features=features,
2563 download_config=download_config,
2564 download_mode=download_mode,
2565 revision=revision,
2566 token=token,
2567 storage_options=storage_options,
2568 trust_remote_code=trust_remote_code,
2569 _require_default_config_name=name is None,
2570 **config_kwargs,
2571 )
2573 # Return iterable dataset in case of streaming
2574 if streaming:

File ~/opt/anaconda3/lib/python3.9/site-packages/datasets/load.py:2228, in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, use_auth_token, storage_options, trust_remote_code, _require_default_config_name, **config_kwargs)
2226 download_config = download_config.copy() if download_config else DownloadConfig()
2227 download_config.storage_options.update(storage_options)
-> 2228 dataset_module = dataset_module_factory(
2229 path,
2230 revision=revision,
2231 download_config=download_config,
2232 download_mode=download_mode,
2233 data_dir=data_dir,
2234 data_files=data_files,
2235 cache_dir=cache_dir,
2236 trust_remote_code=trust_remote_code,
2237 _require_default_config_name=_require_default_config_name,
2238 _require_custom_configs=bool(config_kwargs),
2239 )
2240 # Get dataset builder class from the processing script
2241 builder_kwargs = dataset_module.builder_kwargs

File ~/opt/anaconda3/lib/python3.9/site-packages/datasets/load.py:1879, in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, cache_dir, trust_remote_code, _require_default_config_name, _require_custom_configs, **download_kwargs)
1874 if isinstance(e1, FileNotFoundError):
1875 raise FileNotFoundError(
1876 f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory. "
1877 f"Couldn't find '{path}' on the Hugging Face Hub either: {type(e1).name}: {e1}"
1878 ) from None
-> 1879 raise e1 from None
1880 else:
1881 raise FileNotFoundError(
1882 f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory."
1883 )

File ~/opt/anaconda3/lib/python3.9/site-packages/datasets/load.py:1824, in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, cache_dir, trust_remote_code, _require_default_config_name, _require_custom_configs, **download_kwargs)
1819 raise DatasetNotFoundError(
1820 msg
1821 + f". If the dataset is private or gated, make sure to log in with huggingface-cli login or visit the dataset page at https://huggingface.co/datasets/{path} to ask for access."
1822 )
1823 else:
-> 1824 raise e
1825 if filename in [sibling.rfilename for sibling in dataset_info.siblings]: # contains a dataset script
1826 fs = HfFileSystem(endpoint=config.HF_ENDPOINT, token=download_config.token)

File ~/opt/anaconda3/lib/python3.9/site-packages/datasets/load.py:1797, in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, cache_dir, trust_remote_code, _require_default_config_name, _require_custom_configs, **download_kwargs)
1795 hf_api = HfApi(config.HF_ENDPOINT)
1796 try:
-> 1797 dataset_info = hf_api.dataset_info(
1798 repo_id=path,
1799 revision=revision,
1800 token=download_config.token,
1801 timeout=100.0,
1802 )
1803 except Exception as e: # noqa catch any exception of hf_hub and consider that the dataset doesn't exist
1804 if isinstance(
1805 e,
1806 (
(...)
1810 ),
1811 ):

File ~/opt/anaconda3/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py:119, in validate_hf_hub_args.._inner_fn(*args, **kwargs)
116 if check_use_auth_token:
117 kwargs = smoothly_deprecate_use_auth_token(fn_name=fn.name, has_token=has_token, kwargs=kwargs)
--> 119 return fn(*args, **kwargs)

File ~/opt/anaconda3/lib/python3.9/site-packages/huggingface_hub/hf_api.py:2293, in HfApi.dataset_info(self, repo_id, revision, timeout, files_metadata, token)
2291 hf_raise_for_status(r)
2292 data = r.json()
-> 2293 return DatasetInfo(**data)

File ~/opt/anaconda3/lib/python3.9/site-packages/huggingface_hub/hf_api.py:792, in DatasetInfo.init(self, **kwargs)
790 self.likes = kwargs.pop("likes")
791 self.paperswithcode_id = kwargs.pop("paperswithcode_id", None)
--> 792 self.tags = kwargs.pop("tags")
793 card_data = kwargs.pop("cardData", None) or kwargs.pop("card_data", None)
794 self.card_data = (
795 DatasetCardData(**card_data, ignore_metadata_errors=True) if isinstance(card_data, dict) else card_data
796 )

KeyError: 'tags'