---
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`](https://huggingface.co/datasets/ag_news).
The only differences are

1. Addition of a unique identifier, `uid`
   
1. 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`

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