README.md

metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
  - config_name: embedding_all-MiniLM-L12-v2
    data_files:
      - split: train
        path: embedding_all-MiniLM-L12-v2/train-*
      - split: test
        path: embedding_all-MiniLM-L12-v2/test-*
  - config_name: embedding_all-mpnet-base-v2
    data_files:
      - split: train
        path: embedding_all-mpnet-base-v2/train-*
      - split: test
        path: embedding_all-mpnet-base-v2/test-*
  - config_name: embedding_multi-qa-mpnet-base-dot-v1
    data_files:
      - split: train
        path: embedding_multi-qa-mpnet-base-dot-v1/train-*
      - split: test
        path: embedding_multi-qa-mpnet-base-dot-v1/test-*
dataset_info:
  - config_name: default
    features:
      - name: text
        dtype: string
      - name: labels
        dtype:
          class_label:
            names:
              '0': World
              '1': Sports
              '2': Business
              '3': Sci/Tech
      - name: uid
        dtype: int64
    splits:
      - name: train
        num_bytes: 30777303
        num_examples: 120000
      - name: test
        num_bytes: 1940274
        num_examples: 7600
    download_size: 20531429
    dataset_size: 32717577
  - config_name: embedding_all-MiniLM-L12-v2
    features:
      - name: uid
        dtype: int64
      - name: embedding_all-MiniLM-L12-v2
        sequence: float32
    splits:
      - name: train
        num_bytes: 185760000
        num_examples: 120000
      - name: test
        num_bytes: 11764800
        num_examples: 7600
    download_size: 276467219
    dataset_size: 197524800
  - config_name: embedding_all-mpnet-base-v2
    features:
      - name: uid
        dtype: int64
      - name: embedding_all-mpnet-base-v2
        sequence: float32
    splits:
      - name: train
        num_bytes: 370080000
        num_examples: 120000
      - name: test
        num_bytes: 23438400
        num_examples: 7600
    download_size: 472647323
    dataset_size: 393518400
  - config_name: embedding_multi-qa-mpnet-base-dot-v1
    features:
      - name: uid
        dtype: int64
      - name: embedding_multi-qa-mpnet-base-dot-v1
        sequence: float32
    splits:
      - name: train
        num_bytes: 370080000
        num_examples: 120000
      - name: test
        num_bytes: 23438400
        num_examples: 7600
    download_size: 472640830
    dataset_size: 393518400
task_categories:
  - text-classification
language:
  - en
size_categories:
  - 100K<n<1M

This dataset has been created as an artefact of the paper AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets (Lesci and Vlachos, 2024). More info about this dataset in the appendix of the paper. This is the same dataset as fancyzhx/ag_news. The only differences are:

1. Addition of a unique identifier, uid

2. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers

   • all-mpnet-base-v2
   • multi-qa-mpnet-base-dot-v1
   • all-MiniLM-L12-v2

3. Renaming of the label column to labels for easier compatibility with the transformers library