Datasets:

darpa-scify
/

nsf-scify-20k

dataset_info:
  features:
    - name: award_id
      dtype: string
    - name: technical_abstract
      dtype: string
    - name: non_technical_abstract
      dtype: string
    - name: verifiable_claims
      sequence: string
    - name: investigation_proposals
      sequence: string
    - name: award_year
      dtype: float64
    - name: division
      dtype: string
    - name: directorate
      dtype: string
    - name: title
      dtype: string
  splits:
    - name: train
      num_examples: 14682
    - name: validation
      num_examples: 500
    - name: test
      num_examples: 4000
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*.parquet
      - split: validation
        path: data/validation-*.parquet
      - split: test
        path: data/test-*.parquet

NSF-SciFy 20K

Filtered 20K NSF award dataset with technical abstracts, non-technical abstracts, verifiable claims, and investigation proposals.

Load

from datasets import load_dataset

ds = load_dataset("darpa-scify/nsf-scify-20k")

Splits

train: 14,682 examples
validation: 500 examples
test: 4,000 examples