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 is the same dataset as 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