Upload README.md

README.md

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-license: cc-by-sa-4.0
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+## 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  |  Processed Website | Cocktail-Name      | md5 for Processed Data                              | Domain      | Relevancy | # Test Query | # Corpus |
+| ------------- | ------------------------------------------------------------ | ------------------ | ---------------------------------- | ----------- | --------- | ------------ | -------- |-------- |
+| MS MARCO      | [Homepage](https://microsoft.github.io/msmarco/) |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/msmarco)   | `msmarco`          | `985926f3e906fadf0dc6249f23ed850f` | Misc.       | Binary    | 6,979        | 542,203  |
+| DL19          | [Homepage](https://microsoft.github.io/msmarco/TREC-Deep-Learning-2019) | [Homepage](https://huggingface.co/datasets/IR-Cocktail/dl19)  |   `dl19`             | `d652af47ec0e844af43109c0acf50b74` | Misc.       | Binary    | 43           | 542,203  |
+| DL20          | [Homepage](https://microsoft.github.io/msmarco/TREC-Deep-Learning-2020) | [Homepage](https://huggingface.co/datasets/IR-Cocktail/dl20)  | `dl20`             | `3afc48141dce3405ede2b6b937c65036` | Misc.       | Binary    | 54           | 542,203  |
+| TREC-COVID    | [Homepage](https://ir.nist.gov/covidSubmit/index.html)    |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/trec-covid)  | `trec-covid`       | `1e1e2264b623d9cb7cb50df8141bd535` | Bio-Medical | 3-level   | 50           | 128,585  |
+| NFCorpus      | [Homepage](https://www.cl.uni-heidelberg.de/statnlpgroup/nfcorpus/) |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/nfcorpus) | `nfcorpus`         | `695327760647984c5014d64b2fee8de0` | Bio-Medical | 3-level   | 323          | 3,633    |
+| NQ            | [Homepage](https://ai.google.com/research/NaturalQuestions) |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/nq)  | `nq`               | `a10bfe33efdec54aafcc974ac989c338` | Wikipedia   | Binary    | 3,446        | 104,194  |
+| HotpotQA      | [Homepage](https://hotpotqa.github.io/)                   |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/hotpotqa)  | `hotpotqa`         | `74467760fff8bf8fbdadd5094bf9dd7b` | Wikipedia   | Binary    | 7,405        | 111,107  |
+| FiQA-2018     | [Homepage](https://sites.google.com/view/fiqa/)           |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/fiqa)  | `fiqa`             | `4e1e688539b0622630fb6e65d39d26fa` | Finance     | Binary    | 648          | 57,450   |
+| Touché-2020   | [Homepage](https://webis.de/events/touche-20/shared-task-1.html) |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/webis-touche2020)  | `webis-touche2020` | `d58ec465ccd567d8f75edb419b0faaed` | Misc.       | 3-level   | 49           | 101,922  |
+| CQADupStack   | [Homepage](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/dcqadupstackl19)  | `cqadupstack`      | `d48d963bc72689c765f381f04fc26f8b` | StackEx.    | Binary    | 1,563        | 39,962   |
+| DBPedia       | [Homepage](https://github.com/iai-group/DBpedia-Entity/)     |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/dbpedia-entity)  | `dbpedia-entity`   | `43292f4f1a1927e2e323a4a7fa165fc1` | Wikipedia   | 3-level   | 400          | 145,037  |
+| SCIDOCS       | [Homepage](https://allenai.org/data/scidocs)                 |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/scidocs)  | `scidocs`          | `4058c0915594ab34e9b2b67f885c595f` | Scientific  | Binary    | 1,000        | 25,259   |
+| FEVER         | [Homepage](http://fever.ai/)                                 |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/fever)  | `fever`            | `98b631887d8c38772463e9633c477c69` | Wikipedia   | Binary    | 6,666        | 114,529  |
+| Climate-FEVER | [Homepage](http://climatefever.ai/)                          |   [Homepage](https://huggingface.co/datasets/IR-Cocktail/climate-fever) | `climate-fever`    | `5734d6ac34f24f5da496b27e04ff991a` | Wikipedia   | Binary    | 1,535        | 101,339  |
+| SciFact       | [Homepage](https://github.com/allenai/scifact)               |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/scifact)  | `scifact`          | `b5b8e24ccad98c9ca959061af14bf833` | Scientific  | Binary    | 300          | 5,183    |
+| NQ-UTD        | [Homepage](https://anonymous.4open.science/r/Cocktail-BA4B/) |  [Homepage](https://huggingface.co/datasets/IR-Cocktail/nq-utd)  | `nq-utd`           | `2e12e66393829cd4be715718f99d2436` | Misc.       | 3-level   | 80           | 800      |
+
+## Dataset Structure
+```shell
+.
+├── 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{dai2023llms,
+  title={Llms may dominate information access: Neural retrievers are biased towards llm-generated texts},
+  author={Dai, Sunhao and Zhou, Yuqi and Pang, Liang and Liu, Weihao and Hu, Xiaolin and Liu, Yong and Zhang, Xiao and Xu, Jun},
+  journal={arXiv preprint arXiv:2310.20501},
+  year={2023}
+}
+```