OARelatedWork / README.md
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metadata
dataset_info:
  - config_name: abstracts
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  - config_name: abstracts_with_greedy_oracle_target_sentences
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  - config_name: default
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  - config_name: flattened_sections
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  - config_name: greedy_oracle_paragraphs
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                      dtype: uint16
                    - name: start
                      dtype: uint32
                    - name: end
                      dtype: uint32
                - name: references
                  list:
                    - name: index
                      dtype: uint16
                    - name: start
                      dtype: uint32
                    - name: end
                      dtype: uint32
      - name: authors
        list: string
      - name: year
        dtype: uint16
      - name: fields_of_study
        list: string
      - name: referenced
        list:
          - name: id
            dtype: uint64
          - name: s2orc_id
            dtype: uint64
          - name: mag_id
            dtype: uint64
          - name: doi
            dtype: string
          - name: title
            dtype: string
          - name: hierarchy
            list:
              - name: title_path
                list: string
              - name: paragraphs
                list:
                  list:
                    - name: title_path
                      list: string
                    - name: text
                      dtype: string
                    - name: citations
                      list:
                        - name: index
                          dtype: uint16
                        - name: start
                          dtype: uint32
                        - name: end
                          dtype: uint32
                    - name: references
                      list:
                        - name: index
                          dtype: uint16
                        - name: start
                          dtype: uint32
                        - name: end
                          dtype: uint32
          - name: authors
            list: string
          - name: year
            dtype: uint16
          - name: fields_of_study
            list: string
          - name: citations
            list: uint64
          - name: bibliography
            list:
              - name: id
                dtype: uint64
              - name: title
                dtype: string
              - name: year
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              - name: authors
                list: string
          - name: non_plaintext_content
            list:
              - name: type
                dtype: string
              - name: description
                dtype: string
      - name: bibliography
        list:
          - name: id
            dtype: uint64
          - name: title
            dtype: string
          - name: year
            dtype: uint16
          - name: authors
            list: string
      - name: non_plaintext_content
        list:
          - name: type
            dtype: string
          - name: description
            dtype: string
    splits:
      - name: train
        num_bytes: 13045721413
        num_examples: 91445
      - name: validation
        num_bytes: 133198826
        num_examples: 1127
      - name: test
        num_bytes: 215321536
        num_examples: 1878
    download_size: 5803606935
    dataset_size: 13394241775
  - config_name: greedy_oracle_sentences
    features:
      - name: id
        dtype: uint64
      - name: s2orc_id
        dtype: uint64
      - name: mag_id
        dtype: uint64
      - name: doi
        dtype: string
      - name: title
        dtype: string
      - name: abstract
        list:
          list:
            - name: title_path
              list: string
            - name: text
              dtype: string
            - name: citations
              list:
                - name: index
                  dtype: uint16
                - name: start
                  dtype: uint32
                - name: end
                  dtype: uint32
            - name: references
              list:
                - name: index
                  dtype: uint16
                - name: start
                  dtype: uint32
                - name: end
                  dtype: uint32
      - name: related_work
        list:
          - name: title_path
            list: string
          - name: paragraphs
            list:
              list:
                - name: title_path
                  list: string
                - name: text
                  dtype: string
                - name: citations
                  list:
                    - name: index
                      dtype: uint16
                    - name: start
                      dtype: uint32
                    - name: end
                      dtype: uint32
                - name: references
                  list:
                    - name: index
                      dtype: uint16
                    - name: start
                      dtype: uint32
                    - name: end
                      dtype: uint32
      - name: hierarchy
        list:
          - name: title_path
            list: string
          - name: paragraphs
            list:
              list:
                - name: title_path
                  list: string
                - name: text
                  dtype: string
                - name: citations
                  list:
                    - name: index
                      dtype: uint16
                    - name: start
                      dtype: uint32
                    - name: end
                      dtype: uint32
                - name: references
                  list:
                    - name: index
                      dtype: uint16
                    - name: start
                      dtype: uint32
                    - name: end
                      dtype: uint32
      - name: authors
        list: string
      - name: year
        dtype: uint16
      - name: fields_of_study
        list: string
      - name: referenced
        list:
          - name: id
            dtype: uint64
          - name: s2orc_id
            dtype: uint64
          - name: mag_id
            dtype: uint64
          - name: doi
            dtype: string
          - name: title
            dtype: string
          - name: hierarchy
            list:
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                list: string
              - name: paragraphs
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                  list:
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                    - name: text
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                    - name: citations
                      list:
                        - name: index
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                        - name: start
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                      list:
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          - name: authors
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          - name: fields_of_study
            list: string
          - name: citations
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          - name: bibliography
            list:
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              - name: title
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              - name: year
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              - name: authors
                list: string
          - name: non_plaintext_content
            list:
              - name: type
                dtype: string
              - name: description
                dtype: string
      - name: bibliography
        list:
          - name: id
            dtype: uint64
          - name: title
            dtype: string
          - name: year
            dtype: uint16
          - name: authors
            list: string
      - name: non_plaintext_content
        list:
          - name: type
            dtype: string
          - name: description
            dtype: string
    splits:
      - name: train
        num_bytes: 9282753320
        num_examples: 91445
      - name: validation
        num_bytes: 92733072
        num_examples: 1127
      - name: test
        num_bytes: 150033159
        num_examples: 1878
    download_size: 4510853841
    dataset_size: 9525519551
configs:
  - config_name: abstracts
    data_files:
      - split: train
        path: abstracts/train-*
      - split: validation
        path: abstracts/validation-*
      - split: test
        path: abstracts/test-*
  - config_name: abstracts_with_greedy_oracle_target_sentences
    data_files:
      - split: train
        path: abstracts_with_greedy_oracle_target_sentences/train-*
      - split: validation
        path: abstracts_with_greedy_oracle_target_sentences/validation-*
      - split: test
        path: abstracts_with_greedy_oracle_target_sentences/test-*
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
  - config_name: flattened_sections
    data_files:
      - split: train
        path: flattened_sections/train-*
      - split: validation
        path: flattened_sections/validation-*
      - split: test
        path: flattened_sections/test-*
  - config_name: greedy_oracle_paragraphs
    data_files:
      - split: train
        path: greedy_oracle_paragraphs/train-*
      - split: validation
        path: greedy_oracle_paragraphs/validation-*
      - split: test
        path: greedy_oracle_paragraphs/test-*
  - config_name: greedy_oracle_per_input_doc_paragraphs
    data_files:
      - split: train
        path: greedy_oracle_per_input_doc_paragraphs/train-*
      - split: validation
        path: greedy_oracle_per_input_doc_paragraphs/validation-*
      - split: test
        path: greedy_oracle_per_input_doc_paragraphs/test-*
  - config_name: greedy_oracle_per_input_doc_sentences
    data_files:
      - split: train
        path: greedy_oracle_per_input_doc_sentences/train-*
      - split: validation
        path: greedy_oracle_per_input_doc_sentences/validation-*
      - split: test
        path: greedy_oracle_per_input_doc_sentences/test-*
  - config_name: greedy_oracle_sentences
    data_files:
      - split: train
        path: greedy_oracle_sentences/train-*
      - split: validation
        path: greedy_oracle_sentences/validation-*
      - split: test
        path: greedy_oracle_sentences/test-*

OARelatedWork

OARelatedWork is a large-scale multi-document summarization dataset for related work generation containing whole related work sections and full-texts of cited papers. The dataset includes 94 450 papers and 5 824 689 unique referenced papers.

Split Samples
Train 91,445
Validation 1,127
Test 1,878

Fields

  • id - id from our corpus
  • s2orc_id - SemanticScholar id
  • mag_id - Microsoft Academic Graph id
  • DOI - Might be DOI for another version of document than the one used for processing.
  • title - title of publication
  • abstract - list of paragraphs in an abstract, every paragraph is a list of sentences
  • related_work - The target related work section. The format differs according to used configuration.
  • hierarchy - Document body, but the abstract and related work section. The format differs according to used configuration.
  • authors - authors of publication
  • year - year of publication
  • fields_of_study - list of fields of study
  • referenced - List of referenced document. Each referenced document has the same fields, but the abstract, related_work, and referenced field are missing. All references have the abstract section as a first section in hierarchy.
  • bibliography - document bibliography
  • non_plaintext_content - tables and figures

Structure

We provide multiple dataset configurations to make working with this dataset as simple as possible. Also, by the time this dataset is released, it is not possible to use hierarchical structures, which we use to represent document content. Thus, we used several workarounds, such as flattening the hierarchy or using a JSON representation of hierarchy.

We divide a document content into sections, subsections, paragraphs, and sentences. Not all documents have full text and subsections.

Flattened hierarchy

The hierarchy is flattened on section level. meaning that it is a list of (sub)sections. Each(sub)section is represented by list of titles on tree path to given section and list of paragraphs in given (sub)section. Each paragraph is represented as a list of sentences. Every sentence also contains metadata such as citation spans.

Configurations

  • oa_related_work

    uses JSON format to represent hierarchy

  • abstracts

    provides just abstracts of cited papers, hierarchy of target paper is flattened

  • flattened_sections

    hierarchy is flattened, see the Flattened hierarchy section above

  • greedy oracle based configurations

    These configurations provide filtered content using greedy oracle. Since the greedy oracle is a cheating baseline, use these with care.

    • greedy_oracle_sentences

      Each referenced document is represented by sentences that are in greedy extractive oracle summary. It is using same format as flattened_sections.

    • greedy_oracle_paragraphs

      Each referenced document is represented by paragraphs that contain sentences that are in greedy extractive oracle summary. It is using same format as flattened_sections.

    • greedy_oracle_per_input_doc_sentences

      Each referenced document is represented by sentences that are in greedy extractive oracle summary done on each document separately. It is using same format as flattened_sections.

    • greedy_oracle_per_input_doc_paragraphs

      Each referenced document is represented by paragraphs that contain sentences that are in greedy extractive oracle summary done on each document separately. It is using same format as flattened_sections.

    • abstracts_with_greedy_oracle_target_sentences

      Same as abstracts, but target is greedy oracle summary of target document. Target document is the one for which the related work is generated for.

I don't want to use Hugging Face loader

We also provide our custom loader that is available at https://github.com/KNOT-FIT-BUT/OAPapersLoader.

TUI Viewer

We provide a TUI viewer with the dataset (https://github.com/KNOT-FIT-BUT/OAPapersViewer), as it is difficult to navigate data of this kind, especially when one wants to investigate the content of cited papers.

TUI Viewer

Sources

The dataset contains open access papers obtained from CORE and SemanticScholar corpora. These corpora contain third party content and materials, such as open access works from publicly available sources. In addition to the licenses of those organizations (ODC-By, CC BY-NC), any underlying Third Party Content may be subject to separate license terms by the respective third party owner. We made the best effort to provide identifiers (title, authors, year, DOI, or SemanticScholar ID) of collected papers to allow the user of this dataset to check the license.