metadata

dataset_info:
  - config_name: cc-by
    features:
      - name: id
        dtype: string
      - name: idx
        dtype: int64
      - name: paragraph
        dtype: string
    splits:
      - name: train
        num_bytes: 151115318
        num_examples: 139463
    download_size: 76199216
    dataset_size: 151115318
  - config_name: cc-by-nc
    features:
      - name: id
        dtype: string
      - name: idx
        dtype: int64
      - name: paragraph
        dtype: string
    splits:
      - name: train
        num_bytes: 78538396
        num_examples: 69457
    download_size: 39741294
    dataset_size: 78538396
configs:
  - config_name: cc-by
    data_files:
      - split: train
        path: cc-by/train-*
  - config_name: cc-by-nc
    data_files:
      - split: train
        path: cc-by-nc/train-*

ChemRxiv Paragraphs

This dataset consists of paragraphs from ChemRxiv papers with CC BY 4.0 and CC BY-NC 4.0 licenses, sourced from the BASF-AI/ChemRxiv-Papers dataset. Paragraphs are extracted using Grobid, and filtered using an average log word probability method similar to the approach in allenai/peS2o. Paragraphs with fewer than 50 words are excluded.

The number of unique papers in each license category is as follows:

CC BY 4.0: 5,848 papers
CC BY-NC 4.0: 3,082 papers

To obtain metadata for each paper, join on the id column with the BASF-AI/ChemRxiv-Papers dataset.

To access paragraphs for a specific license, use the name argument as follows:

import datasets

cc_by = datasets.load_dataset('BASF-AI/ChemRxiv-Paragraphs', name='cc-by')
cc_by_nc = datasets.load_dataset('BASF-AI/ChemRxiv-Paragraphs', name='cc-by-nc')