Datasets:

IR-Cocktail
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hotpotqa

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train

The dataset viewer is not available for this split.

Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Column(/metadata/supporting_facts/[]/[]) changed from string to number in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 145, in _generate_tables
                  dataset = json.load(f)
                File "/usr/local/lib/python3.9/json/__init__.py", line 293, in load
                  return loads(fp.read(),
                File "/usr/local/lib/python3.9/json/__init__.py", line 346, in loads
                  return _default_decoder.decode(s)
                File "/usr/local/lib/python3.9/json/decoder.py", line 340, in decode
                  raise JSONDecodeError("Extra data", s, end)
              json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 223)
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 148, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 122, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/metadata/supporting_facts/[]/[]) changed from string to number in row 0

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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Data Description

Homepage: https://github.com/KID-22/Cocktail
Repository: https://github.com/KID-22/Cocktail
Paper: [Needs More Information]

Dataset Summary

All the 16 benchmarked datasets in Cocktail are listed in the following table.

Dataset	Raw Website	Cocktail Website	Cocktail-Name	md5 for Processed Data	Domain	Relevancy	# Test Query	# Corpus
MS MARCO	Homepage	Homepage	`msmarco`	`985926f3e906fadf0dc6249f23ed850f`	Misc.	Binary	6,979	542,203
DL19	Homepage	Homepage	`dl19`	`d652af47ec0e844af43109c0acf50b74`	Misc.	Binary	43	542,203
DL20	Homepage	Homepage	`dl20`	`3afc48141dce3405ede2b6b937c65036`	Misc.	Binary	54	542,203
TREC-COVID	Homepage	Homepage	`trec-covid`	`1e1e2264b623d9cb7cb50df8141bd535`	Bio-Medical	3-level	50	128,585
NFCorpus	Homepage	Homepage	`nfcorpus`	`695327760647984c5014d64b2fee8de0`	Bio-Medical	3-level	323	3,633
NQ	Homepage	Homepage	`nq`	`a10bfe33efdec54aafcc974ac989c338`	Wikipedia	Binary	3,446	104,194
HotpotQA	Homepage	Homepage	`hotpotqa`	`74467760fff8bf8fbdadd5094bf9dd7b`	Wikipedia	Binary	7,405	111,107
FiQA-2018	Homepage	Homepage	`fiqa`	`4e1e688539b0622630fb6e65d39d26fa`	Finance	Binary	648	57,450
Touché-2020	Homepage	Homepage	`webis-touche2020`	`d58ec465ccd567d8f75edb419b0faaed`	Misc.	3-level	49	101,922
CQADupStack	Homepage	Homepage	`cqadupstack`	`d48d963bc72689c765f381f04fc26f8b`	StackEx.	Binary	1,563	39,962
DBPedia	Homepage	Homepage	`dbpedia-entity`	`43292f4f1a1927e2e323a4a7fa165fc1`	Wikipedia	3-level	400	145,037
SCIDOCS	Homepage	Homepage	`scidocs`	`4058c0915594ab34e9b2b67f885c595f`	Scientific	Binary	1,000	25,259
FEVER	Homepage	Homepage	`fever`	`98b631887d8c38772463e9633c477c69`	Wikipedia	Binary	6,666	114,529
Climate-FEVER	Homepage	Homepage	`climate-fever`	`5734d6ac34f24f5da496b27e04ff991a`	Wikipedia	Binary	1,535	101,339
SciFact	Homepage	Homepage	`scifact`	`b5b8e24ccad98c9ca959061af14bf833`	Scientific	Binary	300	5,183
NQ-UTD	Homepage	Homepage	`nq-utd`	`2e12e66393829cd4be715718f99d2436`	Misc.	3-level	80	800

Dataset Structure

.
├── corpus # * documents
│   ├── human.jsonl # * human-written corpus
│   └── llama-2-7b-chat-tmp0.2.jsonl # * llm-generated corpus
├── qrels
│   └── test.tsv # * relevance for queries
└── queries.jsonl  # * quereis

All Cocktail datasets must contain a humman-written corpus, a LLM-generated corpus, queries and qrels. They must be in the following format:

corpus: a .jsonl file (jsonlines) that contains a list of dictionaries, each with three fields _id with unique document identifier, title with document title (optional) and text with document paragraph or passage. For example: {"_id": "doc1", "title": "title", "text": "text"}
queries file: a .jsonl file (jsonlines) that contains a list of dictionaries, each with two fields _id with unique query identifier and text with query text. For example: {"_id": "q1", "text": "q1_text"}
qrels file: a .tsv file (tab-seperated) that contains three columns, i.e. the query-id, corpus-id and score in this order. Keep 1st row as header. For example: q1 doc1 1

Cite as:

@article{cocktail,
  title={Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration},
  author={Dai, Sunhao and Liu, Weihao and Zhou, Yuqi and Pang, Liang and Ruan, Rongju and Wang, Gang and Dong, Zhenhua and Xu, Jun and Wen, Ji-Rong},
  journal={Findings of the Association for Computational Linguistics: ACL 2024},
  year={2024}
}

@article{dai2024neural,
  title={Neural Retrievers are Biased Towards LLM-Generated Content},
  author={Dai, Sunhao and Zhou, Yuqi and Pang, Liang and Liu, Weihao and Hu, Xiaolin and Liu, Yong and Zhang, Xiao and Wang, Gang and Xu, Jun},
  journal={Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  year={2024}
}

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