size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: input
    dtype: string
  - name: output
    struct:
    - name: cf_snomed
      struct:
      - name: abdomen
        dtype: int64
      - name: arteriovenous malformation
        dtype: int64
      - name: bleeding
        dtype: int64
      - name: disease
        dtype: int64
      - name: ependymoma
        dtype: int64
      - name: low back pain
        dtype: int64
      - name: pain
        dtype: int64
      - name: pleural effusion
        dtype: int64
      - name: sarcoma
        dtype: int64
      - name: squamous cell carcinoma
        dtype: int64
      - name: subarachnoid hemorrhage
        dtype: int64
      - name: subdural hemorrhage
        dtype: int64
      - name: swelling
        dtype: int64
      - name: vesicovaginal fistula
        dtype: int64
  splits:
  - name: train
    num_bytes: 2661
    num_examples: 14
  download_size: 10166
  dataset_size: 2661
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
