README.md

metadata

language:
  - en
task_categories:
  - text-retrieval
size_categories:
  - 10K<n<100K
dataset_info:
  - config_name: documents
    features:
      - name: chunk_id
        dtype: string
      - name: chunk
        dtype: string
      - name: source_url
        dtype: string
      - name: title
        dtype: string
      - name: chunk_idx
        dtype: int64
      - name: chunk_start_char
        dtype: int64
      - name: chunk_end_char
        dtype: int64
    splits:
      - name: test
        num_bytes: 10518145
        num_examples: 69199
    download_size: 3065416
    dataset_size: 10518145
  - config_name: documents_coref
    features:
      - name: chunk_id
        dtype: string
      - name: chunk
        dtype: string
      - name: source_url
        dtype: string
      - name: title
        dtype: string
      - name: chunk_idx
        dtype: int64
      - name: chunk_start_char
        dtype: int64
      - name: chunk_end_char
        dtype: int64
    splits:
      - name: test
        num_bytes: 10956870
        num_examples: 69199
    download_size: 3175651
    dataset_size: 10956870
  - config_name: queries
    features:
      - name: original_query
        dtype: string
      - name: query
        dtype: string
      - name: answer
        list: string
      - name: score
        list: int64
      - name: source_url
        list: string
      - name: frag_start_char
        list: int64
      - name: frag_end_char
        list: int64
      - name: n_gold
        dtype: int64
    splits:
      - name: test
        num_bytes: 294674
        num_examples: 271
    download_size: 145407
    dataset_size: 294674
configs:
  - config_name: documents
    data_files:
      - split: test
        path: documents/test-*
  - config_name: documents_coref
    data_files:
      - split: test
        path: documents_coref/test-*
  - config_name: queries
    data_files:
      - split: test
        path: queries/test-*

ConditionalQA — Chunk-level Retrieval Eval (from DAPR)

Contextualized chunk-level (query2chunk) retrieval evaluation for the ConditionalQA subset of the DAPR benchmark (Document-Aware Passage Retrieval, Wang, Reimers & Gurevych, ACL 2024, arXiv:2305.13915).

This is a reformat of DAPR into the chunk-level retrieval schema used across the Chunk-level Retrieval Eval collection. Chunks are DAPR's native passages — the documents are not re-chunked into fixed token windows. Each chunk is exactly one DAPR passage (its natural paragraph / gold segmentation).

Configs

Config	Rows	Description
documents	69,199	One row per passage (native DAPR segmentation).
documents_coref	69,199	Same passages, coreference-resolved text (DAPR corpus_coref).
queries	271	Queries with gold fragment char-spans.

documents / documents_coref

field	type	notes
chunk_id	string	DAPR passage id ({doc}-{paragraph})
chunk	string	passage text (coref-resolved in documents_coref)
source_url	string	DAPR doc_id (ConditionalQA has no URLs)
title	string	document title
chunk_idx	int64	paragraph number within the document
chunk_start_char	int64	char offset of the passage in the reconstructed document
chunk_end_char	int64	char end offset

Coref note: documents_coref reuses the same char offsets as documents (i.e. the plain-text coordinate space) so that the single queries config drives overlap-based gold matching for both configs. The chunk text differs (antecedents inlined), so chunk_end_char - chunk_start_char need not equal len(chunk) in the coref config — the offsets act as stable passage locators, not coref-text lengths.

queries

field	type	notes
original_query / query	string	query text
answer	list[string]	gold passage text(s)
score	list[int64]	relevance per gold fragment (from DAPR qrels)
source_url	list[string]	document id per gold fragment
frag_start_char / frag_end_char	list[int64]	char span of each gold passage
n_gold	int64	number of gold fragments

Gold matching

A chunk is gold for a query if it shares source_url with a gold fragment and its [chunk_start_char, chunk_end_char) overlaps that fragment's [frag_start_char, frag_end_char). Because each chunk is a whole passage and each gold fragment is a whole passage, every gold fragment maps to exactly one chunk (verified: 1,165 / 1,165 gold fragments recover as exactly one chunk in both documents and documents_coref).

Provenance

Built from UKPLab/dapr configs ConditionalQA-corpus, ConditionalQA-corpus_coref, ConditionalQA-queries (test), and ConditionalQA-qrels (test). Documents are reconstructed by concatenating passages in paragraph_no order (joined with \n) to assign char offsets; gold fragment spans are the char spans of the gold passages referenced by the qrels.

Citation

@article{wang2023dapr,
    title  = "DAPR: A Benchmark on Document-Aware Passage Retrieval",
    author = "Kexin Wang and Nils Reimers and Iryna Gurevych",
    journal= "arXiv preprint arXiv:2305.13915",
    year   = "2023",
    url    = "https://arxiv.org/abs/2305.13915"
}