These datasets don't work as of datasets==2.11.0
#1
by
adivekar
- opened
Hi. Thanks for uploading these datasets, but it seems like they do not work?
Using datasets==2.11.0:
from datasets import load_dataset
load_dataset("zapsdcn/ag", split='test')
I get this error:
Downloading and preparing dataset json/zapsdcn--ag to /efs/users/adivekar/.cache/huggingface/datasets/zapsdcn___json/zapsdcn--ag-3d65abcb396ff733/0.0.0/fe5dd6ea2639a6df622901539cb550cf8797e5a6b2dd7af1cf934bed8e233e6e...
Downloading data files: 100%
3/3 [00:00<00:00, 298.10it/s]
Extracting data files: 100%
3/3 [00:00<00:00, 114.75it/s]
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ /home/ec2-user/anaconda3/envs/llm-gen/lib/python3.10/site-packages/datasets/builder.py:1875 in │
│ _prepare_split_single │
│ │
│ 1872 │ │ │ │ │ │ │ storage_options=self._fs.storage_options, │
│ 1873 │ │ │ │ │ │ │ embed_local_files=embed_local_files, │
│ 1874 │ │ │ │ │ │ ) │
│ ❱ 1875 │ │ │ │ │ writer.write_table(table) │
│ 1876 │ │ │ │ │ num_examples_progress_update += len(table) │
│ 1877 │ │ │ │ │ if time.time() > _time + config.PBAR_REFRESH_TIME_INTERVAL: │
│ 1878 │ │ │ │ │ │ _time = time.time() │
│ │
│ /home/ec2-user/anaconda3/envs/llm-gen/lib/python3.10/site-packages/datasets/arrow_writer.py:568 │
│ in write_table │
│ │
│ 565 │ │ if self.pa_writer is None: │
│ 566 │ │ │ self._build_writer(inferred_schema=pa_table.schema) │
│ 567 │ │ pa_table = pa_table.combine_chunks() │
│ ❱ 568 │ │ pa_table = table_cast(pa_table, self._schema) │
│ 569 │ │ if self.embed_local_files: │
│ 570 │ │ │ pa_table = embed_table_storage(pa_table) │
│ 571 │ │ self._num_bytes += pa_table.nbytes │
│ │
│ /home/ec2-user/anaconda3/envs/llm-gen/lib/python3.10/site-packages/datasets/table.py:2290 in │
│ table_cast │
│ │
│ 2287 │ │ table (`pyarrow.Table`): the casted table │
│ 2288 │ """ │
│ 2289 │ if table.schema != schema: │
│ ❱ 2290 │ │ return cast_table_to_schema(table, schema) │
│ 2291 │ elif table.schema.metadata != schema.metadata: │
│ 2292 │ │ return table.replace_schema_metadata(schema.metadata) │
│ 2293 │ else: │
│ │
│ /home/ec2-user/anaconda3/envs/llm-gen/lib/python3.10/site-packages/datasets/table.py:2248 in │
│ cast_table_to_schema │
│ │
│ 2245 │ │
│ 2246 │ features = Features.from_arrow_schema(schema) │
│ 2247 │ if sorted(table.column_names) != sorted(features): │
│ ❱ 2248 │ │ raise ValueError(f"Couldn't cast\n{table.schema}\nto\n{features}\nbecause column │
│ 2249 │ arrays = [cast_array_to_feature(table[name], feature) for name, feature in features. │
│ 2250 │ return pa.Table.from_arrays(arrays, schema=schema) │
│ 2251 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
ValueError: Couldn't cast
label: int64
text: string
headline: string
to
{'label': Value(dtype='int64', id=None), 'text': Value(dtype='string', id=None), 'headline': Value(dtype='string',
id=None), 'id': Value(dtype='string', id=None)}
because column names don't match
The above exception was the direct cause of the following exception:
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ in <module>:1 │
│ │
│ ❱ 1 load_dataset("zapsdcn/ag", split='test') │
│ 2 │
│ │
│ /home/ec2-user/anaconda3/envs/llm-gen/lib/python3.10/site-packages/datasets/load.py:1791 in │
│ load_dataset │
│ │
│ 1788 │ try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES │
│ 1789 │ │
│ 1790 │ # Download and prepare data │
│ ❱ 1791 │ builder_instance.download_and_prepare( │
│ 1792 │ │ download_config=download_config, │
│ 1793 │ │ download_mode=download_mode, │
│ 1794 │ │ verification_mode=verification_mode, │
│ │
│ /home/ec2-user/anaconda3/envs/llm-gen/lib/python3.10/site-packages/datasets/builder.py:891 in │
│ download_and_prepare │
│ │
│ 888 │ │ │ │ │ │ │ prepare_split_kwargs["max_shard_size"] = max_shard_size │
│ 889 │ │ │ │ │ │ if num_proc is not None: │
│ 890 │ │ │ │ │ │ │ prepare_split_kwargs["num_proc"] = num_proc │
│ ❱ 891 │ │ │ │ │ │ self._download_and_prepare( │
│ 892 │ │ │ │ │ │ │ dl_manager=dl_manager, │
│ 893 │ │ │ │ │ │ │ verification_mode=verification_mode, │
│ 894 │ │ │ │ │ │ │ **prepare_split_kwargs, │
│ │
│ /home/ec2-user/anaconda3/envs/llm-gen/lib/python3.10/site-packages/datasets/builder.py:986 in │
│ _download_and_prepare │
│ │
│ 983 │ │ │ │
│ 984 │ │ │ try: │
│ 985 │ │ │ │ # Prepare split will record examples associated to the split │
│ ❱ 986 │ │ │ │ self._prepare_split(split_generator, **prepare_split_kwargs) │
│ 987 │ │ │ except OSError as e: │
│ 988 │ │ │ │ raise OSError( │
│ 989 │ │ │ │ │ "Cannot find data file. " │
│ │
│ /home/ec2-user/anaconda3/envs/llm-gen/lib/python3.10/site-packages/datasets/builder.py:1748 in │
│ _prepare_split │
│ │
│ 1745 │ │ │ gen_kwargs = split_generator.gen_kwargs │
│ 1746 │ │ │ job_id = 0 │
│ 1747 │ │ │ with pbar: │
│ ❱ 1748 │ │ │ │ for job_id, done, content in self._prepare_split_single( │
│ 1749 │ │ │ │ │ gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args │
│ 1750 │ │ │ │ ): │
│ 1751 │ │ │ │ │ if done: │
│ │
│ /home/ec2-user/anaconda3/envs/llm-gen/lib/python3.10/site-packages/datasets/builder.py:1893 in │
│ _prepare_split_single │
│ │
│ 1890 │ │ │ # Ignore the writer's error for no examples written to the file if this erro │
│ 1891 │ │ │ if isinstance(e, SchemaInferenceError) and e.__context__ is not None: │
│ 1892 │ │ │ │ e = e.__context__ │
│ ❱ 1893 │ │ │ raise DatasetGenerationError("An error occurred while generating the dataset │
│ 1894 │ │ │
│ 1895 │ │ yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_ │
│ 1896 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
DatasetGenerationError: An error occurred while generating the dataset
I think the error is that the uploaded test set does not have the "id" column.
Workaround: set features manually
import datasets as ds
load_dataset("zapsdcn/ag", features=ds.Features({
'label': ds.Value('int64'),
'text': ds.Value('string'),
'headline': ds.Value('string'),
'id': ds.Value('string'),
}))