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metadata
language:
  - en
multilinguality:
  - monolingual
size_categories:
  - <1K
task_categories:
  - feature-extraction
  - sentence-similarity
pretty_name: ms-marco-mini
tags:
  - sentence-transformers
  - colbert
  - lightonai
dataset_info:
  - config_name: triplet
    features:
      - name: query
        dtype: string
      - name: positive
        dtype: string
      - name: negative
        dtype: string
    splits:
      - name: train
        num_examples: 30
configs:
  - config_name: triplet
    data_files:
      - split: train
        path: triplet.parquet

ms-marco-mini

This dataset gathers very few samples from MS MARCO to provide an example of triplet-based / knowledge distillation dataset formatting.

triplet subset

  • Columns: "query", "positive", "negative"
  • Column types: str, str, str
  • Examples:
    {
      "query": "what are the liberal arts?",
      "positive": 'liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.',
      "negative": 'The New York State Education Department requires 60 Liberal Arts credits in a Bachelor of Science program and 90 Liberal Arts credits in a Bachelor of Arts program. In the list of course descriptions, courses which are liberal arts for all students are identified by (Liberal Arts) after the course number.'
    }