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.' }