README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: string
    - name: submitter
      dtype: string
    - name: authors
      dtype: string
    - name: title
      dtype: string
    - name: comments
      dtype: string
    - name: journal-ref
      dtype: string
    - name: doi
      dtype: string
    - name: report-no
      dtype: string
    - name: categories
      dtype: string
    - name: license
      dtype: string
    - name: orig_abstract
      dtype: string
    - name: versions
      list:
        - name: created
          dtype: string
        - name: version
          dtype: string
    - name: update_date
      dtype: string
    - name: authors_parsed
      sequence:
        sequence: string
    - name: abstract
      dtype: string
  splits:
    - name: train
      num_bytes: 295844767.0072125
      num_examples: 137136
    - name: test
      num_bytes: 63396848.15103951
      num_examples: 29387
    - name: validation
      num_bytes: 63394690.841747954
      num_examples: 29386
  download_size: 236976269
  dataset_size: 422636305.99999994
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
      - split: validation
        path: data/validation-*

Dataset Card for hep-ph_gr-qc_primary Dataset

Dataset Description

• Homepage: Kaggle arXiv Dataset Homepage
• Repository: hepthLlama
• Paper: tbd
• Point of Contact: Paul Richmond

Dataset Summary

This dataset contains metadata included in arXiv submissions.

Dataset Structure

Languages

The text in the abstract field of the dataset is in English, however there may be examples where the abstract also contains a translation into another language.

Dataset Creation

Curation Rationale

The starting point was to load v193 of the Kaggle arXiv Dataset which includes arXiv submissions upto 23rd August 2024. The arXiv dataset contains the following data fields:

• id: ArXiv ID (can be used to access the paper)
• submitter: Who submitted the paper
• authors: Authors of the paper
• title: Title of the paper
• comments: Additional info, such as number of pages and figures
• journal-ref: Information about the journal the paper was published in
• doi: Digital Object Identifier
• report-no: Report Number
• abstract: The abstract of the paper
• categories: Categories / tags in the ArXiv system

To arrive at the hep-ph_gr-qc_primary dataset, the full arXiv data was filtered so that only categories which included 'hep-ph' or 'gr-qc' were retained. This resulted in papers that were either primarily classified as 'hep-ph' or 'gr-qc' or appeared cross-listed. For this dataset, the decision was made to focus only on papers primarily classified as either 'hep-ph' or 'gr-qc'. This meant taking only those abstracts where the first characters in categories were either 'hep-ph' or 'gr-qc' (see here for more details).

We also dropped entries whose abstract or comments contained the word 'Withdrawn' or 'withdrawn' and we removed the five records which appear in the repo LLMsForHepth/arxiv_hepth_first_overfit.

In addition, we have cleaned the data appearing in abstract by first replacing all occurences of '\n' with a whitespace and then removing any leading and trailing whitespace.

Data splits

The dataset is split into a training, validation and test set with split percentages 70%, 15% and 15%. This was done by applying train_test_split twice (both with seed=42). The final split sizes are as follows:

Train	Test	Validation
137,136	29,387	29,386