Datasets:

FeiZhang518
/

Bloom-Eval-Dataset

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              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/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Bloom-Eval Dataset

This dataset is part of the Bloom-Eval benchmark for Automatic Survey Generation (ASG) evaluation. It contains 3,519 survey papers spanning 60+ academic disciplines, used as the reference corpus for the evaluation pipeline.

Dataset Summary

The dataset comprises survey/review papers collected from major venues across computer science, natural sciences, social sciences, and engineering. Each paper is stored as a JSON object with rich metadata including full-text sections, citation information, and structured outlines.

Data Structure

Each JSON file contains:

Field	Description
`label`	Paper type (e.g., "survey paper")
`publication`	Venue/publication name
`title`	Paper title
`date`	Publication year
`authors`	List of authors
`abstract`	Paper abstract
`keywords`	List of keywords
`citation_count`	Number of citations
`arxiv_id`	arXiv identifier (if available)
`doi_id`	DOI identifier (if available)
`context`	Full-text sections (section title → content)
`reference`	List of references cited in the paper
`others_note`	Additional notes or metadata

Disciplines Covered

The dataset covers 60+ disciplines, organized in subdirectories:

Computer Science / AI: AAAI, ACL, EMNLP, ICLR, IJCAI, IJCV, JMLR, NIPS, TPAMI
Natural Sciences: Analytical Chemistry, Astronomy, Biochemistry, Biophysics, Cell Biology, Condensed Matter Physics, Fluid Mechanics, Genetics, Marine Science, Neuroscience, etc.
Medicine & Health: Medicine, Pharmacology, Public Health, Immunology, Nutrition, Pathology, etc.
Social Sciences: Economics, Psychology, Sociology, Political Science, Linguistics, Law, etc.
Engineering & Others: Control & Robotics, Biomedical Engineering, Chemical Engineering, Food Science, etc.

Usage

Download and extract the archive:

# Download from Hugging Face
wget https://huggingface.co/datasets/FeiZhang518/Bloom-Eval-Dataset/resolve/main/bloom-eval-dataset.tar.gz

# Extract
tar -xzf bloom-eval-dataset.tar.gz

The data is organized as:

data_json/
├── ACL/
│   ├── paper_doi_1.json
│   ├── paper_doi_2.json
│   └── ...
├── TPAMI/
│   ├── paper_doi_1.json
│   └── ...
├── Medicine/
│   └── ...
└── ... (60+ disciplines)

Citation

If you use this dataset, please cite the Bloom-Eval paper:

@inproceedings{zhang2026bloomeval,
  title     = {Bloom-Eval: A Hierarchical Evaluation Benchmark for Automatic
               Survey Generation Based on Bloom's Taxonomy},
  author    = {Zhang, Fei and Zhao, Zhe and Wen, Haibin and Wei, Tianshuo and
               Zhang, Zaixi and Yang, Chao and Wei, Ye},
  booktitle = {ACL},
  year      = {2026},
}

License

This dataset is released under the MIT License.

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