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  ---
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- dataset_info:
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- - config_name: answers
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- features:
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- - name: query_id
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- dtype: string
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- - name: answer
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 2819282
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- num_examples: 32747
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- - name: dev
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- num_bytes: 296566
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- num_examples: 3461
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- - name: test
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- num_bytes: 912283
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- num_examples: 10557
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- download_size: 1741986
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- dataset_size: 4028131
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- - config_name: corpus
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- features:
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- - name: id
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- dtype: string
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- - name: title
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- dtype: string
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- - name: text
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 5422604
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- num_examples: 1572
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- download_size: 3371037
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- dataset_size: 5422604
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- - config_name: qrels
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- features:
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- - name: query_id
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- dtype: string
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- - name: corpus_id
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- dtype: string
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- - name: score
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- dtype: int64
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- splits:
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- - name: train
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- num_bytes: 3438435
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- num_examples: 32747
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- - name: dev
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- num_bytes: 363405
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- num_examples: 3461
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- - name: test
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- num_bytes: 1108485
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- num_examples: 10557
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- download_size: 769624
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- dataset_size: 4910325
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- - config_name: queries
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- features:
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- - name: id
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- dtype: string
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- - name: text
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 3417437
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- num_examples: 32747
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- - name: dev
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- num_bytes: 359091
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- num_examples: 3461
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- - name: test
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- num_bytes: 1105671
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- num_examples: 10557
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- download_size: 2031982
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- dataset_size: 4882199
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  configs:
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- - config_name: answers
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- data_files:
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- - split: train
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- path: answers/train-*
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- - split: dev
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- path: answers/dev-*
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- - split: test
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- path: answers/test-*
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- - config_name: corpus
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- data_files:
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- - split: train
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- path: corpus/train-*
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- - config_name: qrels
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- data_files:
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- - split: train
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- path: qrels/train-*
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- - split: dev
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- path: qrels/dev-*
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- - split: test
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- path: qrels/test-*
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- - config_name: queries
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- data_files:
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- - split: train
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- path: queries/train-*
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- - split: dev
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- path: queries/dev-*
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- - split: test
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- path: queries/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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+ task_categories:
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+ - question-answering
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+ - text-retrieval
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+ language:
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+ - en
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+ tags:
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+ - rag
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+ - narrativeqa
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+ - reading-comprehension
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+ - retrieval
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+ size_categories:
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+ - 10K<n<100K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  configs:
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+ - config_name: corpus
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+ data_files:
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+ - split: train
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+ path: corpus/*
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+ - config_name: queries
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+ data_files:
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+ - split: train
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+ path: queries/train*
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+ - split: dev
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+ path: queries/dev*
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+ - split: test
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+ path: queries/test*
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+ - config_name: qrels
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+ data_files:
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+ - split: train
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+ path: qrels/train*
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+ - split: dev
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+ path: qrels/dev*
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+ - split: test
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+ path: qrels/test*
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+ - config_name: answers
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+ data_files:
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+ - split: train
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+ path: answers/train*
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+ - split: dev
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+ path: answers/dev*
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+ - split: test
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+ path: answers/test*
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  ---
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+
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+ # NarrativeQA RAG
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+
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+ Dataset for Retrieval-Augmented Generation (RAG) based on [NarrativeQA](https://huggingface.co/datasets/deepmind/narrativeqa).
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+
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+ ## Structure
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+
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+ | Subset | Splits | Description |
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+ |--------|--------|-------------|
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+ | `corpus` | train (default) | Wikipedia plot summaries shared across all query splits |
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+ | `queries` | train, dev, test | Reading comprehension questions |
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+ | `qrels` | train, dev, test | Relevance judgments (query ↔ document) |
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+ | `answers` | train, dev, test | Reference answers (longest annotated answer) |
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+
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+ ## Dataset statistics
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+
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+ | Split | Queries | Corpus |
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+ |-------|--------:|-------:|
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+ | train | 32747 | 1572 |
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+ | dev | 3461 | 1572 |
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+ | test | 10557 | 1572 |
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+
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+ The corpus is shared across all splits and contains Wikipedia plot summaries (`document.summary.text`) from the original NarrativeQA documents.
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+
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+ - **Dev split:** mapped from the original `validation` split
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+ - **Corpus source:** unique documents from train, validation and test splits
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+
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+ ## Source
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+
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+ | Component | NarrativeQA resource |
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+ |-----------|----------------------|
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+ | Train | `train` split from [deepmind/narrativeqa](https://huggingface.co/datasets/deepmind/narrativeqa) |
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+ | Dev | `validation` split |
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+ | Test | `test` split |
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+ | Corpus | `document.summary.text` (+ `document.summary.title`) |
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+ | Answers | Longest answer text per question |
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+
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+ ## Schema
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+
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+ ### corpus
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+ ```json
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+ {"id": "...", "title": "...", "text": "..."}
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+ ```
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+
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+ ### queries
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+ ```json
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+ {"id": "...", "text": "..."}
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+ ```
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+
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+ ### qrels
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+ ```json
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+ {"query_id": "...", "corpus_id": "...", "score": 1}
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+ ```
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+
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+ ### answers
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+ ```json
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+ {"query_id": "...", "answer": "..."}
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+ ```
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ corpus = load_dataset("DinoStackAI/narrativeqa-rag", "corpus")["train"]
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+ queries = load_dataset("DinoStackAI/narrativeqa-rag", "queries")
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+ qrels = load_dataset("DinoStackAI/narrativeqa-rag", "qrels")
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+ answers = load_dataset("DinoStackAI/narrativeqa-rag", "answers")
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+
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+ train_queries = queries["train"]
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+ dev_qrels = qrels["dev"]
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+ test_answers = answers["test"]
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+ ```
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+
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+ ## Citation
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+
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+ NarrativeQA is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
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+
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+ ```bibtex
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+ @article{kocisky-etal-2018-narrativeqa,
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+ title = "The {N}arrative{QA} Reading Comprehension Challenge",
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+ author = "Ko{\v{c}}isk{\'y}, Tom{\'a}{\v{s}} and
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+ Schwarz, Jonathan and
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+ Blunsom, Phil and
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+ Dyer, Chris and
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+ Hermann, Karl Moritz and
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+ Melis, G{\'a}bor and
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+ Grefenstette, Edward",
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+ journal = "Transactions of the Association for Computational Linguistics",
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+ volume = "6",
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+ year = "2018",
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+ pages = "317--328",
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+ }
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+ ```