README.md

metadata

task_categories:
  - text-classification
tags:
  - data-use
  - gate
  - domain
  - multi-label
license: cc-by-4.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: encoder_train.jsonl
      - split: val
        path: encoder_val.jsonl
      - split: holdout
        path: encoder_holdout.jsonl

datause-encoder-data

Training data for the data-use encoder: a page-level has_data gate plus a document-level teratopic domain classifier, in one joint dataset.

Columns (same schema on every row):

• task — gate (page-level binary) or domain (document-level multi-label)
• doc_id — source document id
• text — page text (gate) or title+abstract (domain)
• has_data — 0/1 for gate rows (0 placeholder on domain rows)
• labels — teratopic label list for domain rows (empty on gate rows)

Splits are document-id disjoint across both tasks. The 30 teratopic labels (in column order) are in encoder_labels.json.