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Datasets:
Quivr
/
CRAG

Tasks:
Question Answering
Summarization
Modalities:
Text
Formats:
json
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
music
finance
Libraries:
Datasets
pandas
License:
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metadata
configs:
  - config_name: crag_task_1_and_2_subsample_1
    data_files: crag_task_1_and_2/crag_task_1_and_2_dev_v4_subsample_cdf90925.jsonl.bz2
  - config_name: crag_task_1_and_2_subsample_2
    data_files: crag_task_1_and_2/crag_task_1_and_2_dev_v4_subsample_2e617280.jsonl.bz2
  - config_name: crag_task_1_and_2_subsample_3
    data_files: crag_task_1_and_2/crag_task_1_and_2_dev_v4_subsample_9bca9871.jsonl.bz2
  - config_name: crag_task_1_and_2_subsample_4
    data_files: crag_task_1_and_2/crag_task_1_and_2_dev_v4_subsample_ff5aa423.jsonl.bz2
  - config_name: crag_task_1_and_2_subsample_5
    data_files: crag_task_1_and_2/crag_task_1_and_2_dev_v4_subsample_3f4353ba.jsonl.bz2
license: cc-by-nc-4.0
task_categories:
  - question-answering
  - summarization
language:
  - en
tags:
  - music
  - finance
size_categories:
  - 1K<n<10K
pretty_name: CRA

Datasets are taken from Facebook's CRAG: Comprehensive RAG Benchmark, see their arXiv paper for details about the dataset construction.

The datasets crag_task_1_and_2_dev_v4_subsample_*.json.bz2 have been created from the dataset crag_task_1_and_2_dev_v4.jsonl.bz2 available on CRAG's GitHub repository. For an easier handling and download of the dataset, we have split the 2706 rows of the original file in 5 subsamples, following the procedure below:

  1. We have created a new label answer_type, classifying the answers in 3 categories:
    • invalid for any answer == "invalid question"
    • no_answer for any answer == "i don't know"
    • valid for any other answer
  2. We have considered the labels answer_type, domain, question_type and static_or_dynamic and performed stratified sampling, splitting the datasets in 5 subsamples. Each subsample has thus the same statistical properties of the full dataset.

We report below the data schema as provided in CRAG's GitHub repository.

Data Schema

Field Name Type Description
interaction_id string A unique identifier for each example.
query_time string Date and time when the query and the web search occurred.
domain string Domain label for the query. Possible values: "finance", "music", "movie", "sports", "open". "Open" includes any factual queries not among the previous four domains.
question_type string Type label about the query. Possible values include: "simple", "simple_w_condition", "comparison", "aggregation", "set", "false_premise", "post-processing", "multi-hop".
static_or_dynamic string Indicates whether the answer to a question changes and the expected rate of change. Possible values: "static", "slow-changing", "fast-changing", and "real-time".
query string The question for RAG to answer.
answer string The gold standard answer to the question.
alt_ans list Other valid gold standard answers to the question.
split integer Data split indicator, where 0 is for validation and 1 is for the public test.
search_results list of JSON Contains up to k HTML pages for each query (k=5 for Task #1 and k=50 for Task #3), including page name, URL, snippet, full HTML, and last modified time.

Search Results Detail

Key Type Description
page_name string The name of the webpage.
page_url string The URL of the webpage.
page_snippet string A short paragraph describing the major content of the page.
page_result string The full HTML of the webpage.
page_last_modified string The time when the page was last modified.