README.md

---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- id
multilinguality:
- monolingual
size_categories:
- n<1K
task_categories:
- feature-extraction
- sentence-similarity
pretty_name: BPS Pairs and Triplets Dataset
tags:
- pairs
- triplets
- information-retrieval
configs:
  - config_name: pairs-class
    data_files:
      - split: train
        path: pairs-class/train/*
  - config_name: triplet-all
    data_files:
      - split: train
        path: triplet-all/train/*
dataset_info:
  - config_name: pairs-class
    features:
      - name: query
        dtype: string
      - name: doc
        dtype: string
      - name: label
        dtype: int64
    splits:
      - name: train
        num_bytes: 0
        num_examples: 0
    download_size: 0
    dataset_size: 0
  - config_name: triplet-all
    features:
      - name: anchor
        dtype: string
      - name: positive
        dtype: string
      - name: negative
        dtype: string
    splits:
      - name: train
        num_bytes: 0
        num_examples: 0
    download_size: 0
    dataset_size: 0
---

# BPS Pairs and Triplets Dataset

This dataset contains two configurations for training information retrieval models:

- **pairs-class**: Pairs of queries and documents with relevance labels (currently empty).
  - **Split**: train
  - **Number of examples**: 0
  - Each example consists of:
    - `query`: The query text.
    - `doc`: The document text.
    - `label`: Relevance label (e.g., 0 or 1).

- **triplet-all**: Triplets of queries with positive and negative examples (currently empty).
  - **Split**: train
  - **Number of examples**: 0
  - Each example consists of:
    - `anchor`: The query text.
    - `positive`: A positive (relevant) document text.
    - `negative`: A negative (irrelevant) document text.