Initial upload of empty pairs-class and triplet-all dataset structure
Browse files
README.md
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- found
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language:
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- id
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multilinguality:
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- monolingual
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size_categories:
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- n<1K
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task_categories:
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- feature-extraction
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- sentence-similarity
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pretty_name: BPS Pairs and Triplets Dataset
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tags:
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- pairs
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- triplets
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- information-retrieval
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configs:
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- config_name: pairs-class
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data_files:
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- split: train
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path: pairs-class/train/*
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- config_name: triplet-all
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data_files:
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- split: train
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path: triplet-all/train/*
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dataset_info:
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- config_name: pairs-class
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features:
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- name: query
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dtype: string
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- name: doc
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dtype: string
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- name: label
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dtype: int64
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splits:
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- name: train
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num_bytes: 0
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num_examples: 0
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download_size: 0
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dataset_size: 0
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- config_name: triplet-all
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features:
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- name: anchor
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dtype: string
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- name: positive
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dtype: string
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- name: negative
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dtype: string
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splits:
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- name: train
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num_bytes: 0
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num_examples: 0
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download_size: 0
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dataset_size: 0
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---
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# BPS Pairs and Triplets Dataset
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This dataset contains two configurations for training information retrieval models:
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- **pairs-class**: Pairs of queries and documents with relevance labels (currently empty).
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- **Split**: train
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- **Number of examples**: 0
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- Each example consists of:
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- `query`: The query text.
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- `doc`: The document text.
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- `label`: Relevance label (e.g., 0 or 1).
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- **triplet-all**: Triplets of queries with positive and negative examples (currently empty).
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- **Split**: train
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- **Number of examples**: 0
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- Each example consists of:
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- `anchor`: The query text.
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- `positive`: A positive (relevant) document text.
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- `negative`: A negative (irrelevant) document text.
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