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Datasets:
sentence-transformers
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s2orc

Tasks:
Feature Extraction
Sentence Similarity
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metadata
language:
  - en
multilinguality:
  - monolingual
size_categories:
  - 100M<n<1B
task_categories:
  - feature-extraction
  - sentence-similarity
pretty_name: S2ORC
tags:
  - sentence-transformers
dataset_info:
  - config_name: abstract-citation-pair
    features:
      - name: abstract
        dtype: string
      - name: citation
        sequence: string
    splits:
      - name: train
        num_bytes: 233783770553
        num_examples: 26367485
    download_size: 130121093323
    dataset_size: 233783770553
  - config_name: abstract-citation-pair-all
    features:
      - name: abstract
        dtype: string
      - name: citation
        sequence: string
    splits:
      - name: train
  - config_name: title-abstract-pair
    features:
      - name: title
        dtype: string
      - name: abstract
        dtype: string
    splits:
      - name: train
        num_bytes: 30708996393
        num_examples: 41769185
    download_size: 19187786420
    dataset_size: 30708996393
  - config_name: title-citation-pair
    features:
      - name: title
        dtype: string
      - name: citation
        dtype: string
    splits:
      - name: train
        num_bytes: 9567159942
        num_examples: 51030086
    download_size: 7054217221
    dataset_size: 9567159942
  - config_name: title-citation-pair-all
    features:
      - name: title
        dtype: string
      - name: citation
        dtype: string
    splits:
      - name: train
configs:
  - config_name: abstract-citation-pair
    data_files:
      - split: train
        path: abstract-citation-pair/train-*
  - config_name: abstract-citation-pair-all
    data_files:
      - split: train
        path: abstract-citation-pair-all/train-*
  - config_name: title-abstract-pair
    data_files:
      - split: train
        path: title-abstract-pair/train-*
    default: true
  - config_name: title-citation-pair
    data_files:
      - split: train
        path: title-citation-pair/train-*
  - config_name: title-citation-pair-all
    data_files:
      - split: train
        path: title-citation-pair-all/train-*

Dataset Card for S2ORC

This dataset contains titles, abstracts, and citations from scientific papers from the Semantic Scholar Open Research Corpus (S2ORC). This dataset can and has been used to train embedding models, and works out of the box to train or finetune Sentence Transformer models.

In our experiments, title-abstract pairs result in the highest performance, followed by titles-citations and then abstract-citations pairs.

Dataset Subsets

title-abstract-pair subset

  • Columns: "title", "abstract"
  • Column types: str, str
  • Examples:
    {
  "title": "Syntheses, Structures and Properties of Two Transition Metal-Flexible Ligand Coordination Polymers",
  "abstract": "Two coordination polymers based on 3,5-bis(4-carboxyphenylmethyloxy) benzoic acid (H3L), [M(HL)]·2H2O M = Mn(1), Co(2), have been synthesized under hydrothermal conditions. Their structures have been determined by single-crystal X-ray diffraction and further characterized by elemental analysis, IR spectra and TGA. The two complexes possess 3D framework with diamond channels resulting from the trans-configuration of the flexible ligand and three coordination modes, 3(η2, η1), 2(η1, η1), η1, of carboxyl groups in the ligand. The framework can be represented with Schlafli symbol of (48·66)(47·66). The wall of the channel consists of left- or right-handed helical polymeric chains. UV–visible–NIR and photoluminescence spectra, magnetic properties of 1 and 2 have also been discussed.",
}
  • Collection strategy: Reading the S2ORC titles-abstract dataset from embedding-training-data.
  • Deduplified: No

title-citation-pair subset

  • Columns: "title", "citation"
  • Column types: str, str
  • Examples:
    {
  "title": "An apparent neuroleptic malignant syndrome without extrapyramidal symptoms upon initiation of clozapine therapy: report of a case and results of a clozapine rechallenge.",
  "citation": "Antipsychotic Rechallenge After Neuroleptic Malignant Syndrome with Catatonic Features"
}
  • Collection strategy: Reading the S2ORC titles-citation dataset from embedding-training-data and considering each title together with the first citation as a sample.
  • Deduplified: No

title-citation-pair-all subset

  • Columns: "title", "citation"
  • Column types: str, str
  • Examples:
    {
  "title": "An apparent neuroleptic malignant syndrome without extrapyramidal symptoms upon initiation of clozapine therapy: report of a case and results of a clozapine rechallenge.",
  "citation": "Antipsychotic Rechallenge After Neuroleptic Malignant Syndrome with Catatonic Features"
}
  • Collection strategy: Reading the S2ORC titles-citation dataset from embedding-training-data and considering each title together with each citation as a sample.
  • Deduplified: No

abstract-citation-pair subset

  • Columns: "abstract", "citation"
  • Column types: str, str
  • Examples:
  • Collection strategy: Reading the S2ORC abstract-citation dataset from embedding-training-data and considering each citation together with the first abstract as a sample.
  • Deduplified: No

abstract-citation-pair-all subset

  • Columns: "abstract", "citation"
  • Column types: str, str
  • Examples:
  • Collection strategy: Reading the S2ORC abstract-citation dataset from embedding-training-data and considering each citation together with each abstract as a sample.
  • Deduplified: No