--- language: - es license: cc-by-nc-4.0 task_categories: - text-retrieval pretty_name: MessIRve dataset_info: - config_name: ar features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 12917011 num_examples: 22560 - name: test num_bytes: 3178494 num_examples: 5481 download_size: 21681786 dataset_size: 16095505 - config_name: bo features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14612600 num_examples: 24912 - name: test num_bytes: 2797324 num_examples: 4810 download_size: 23155666 dataset_size: 17409924 - config_name: cl features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 12880656 num_examples: 22486 - name: test num_bytes: 3102500 num_examples: 5408 download_size: 21305157 dataset_size: 15983156 - config_name: co features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 15097852 num_examples: 25914 - name: test num_bytes: 3298913 num_examples: 5667 download_size: 24839923 dataset_size: 18396765 - config_name: cr features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 13784753 num_examples: 23662 - name: test num_bytes: 3292259 num_examples: 5690 download_size: 23823727 dataset_size: 17077012 - config_name: cu features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 12750160 num_examples: 22071 - name: test num_bytes: 2799328 num_examples: 4787 download_size: 21107441 dataset_size: 15549488 - config_name: do features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 16397979 num_examples: 27830 - name: test num_bytes: 3132225 num_examples: 5359 download_size: 26694657 dataset_size: 19530204 - config_name: ec features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 16312780 num_examples: 27599 - name: test num_bytes: 3606915 num_examples: 6074 download_size: 27581918 dataset_size: 19919695 - config_name: es features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 13536323 num_examples: 23476 - name: test num_bytes: 4128466 num_examples: 7148 download_size: 24202582 dataset_size: 17664789 - config_name: full features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string - name: id_country dtype: float64 splits: - name: train num_bytes: 334257004 num_examples: 571835 - name: test num_bytes: 94744399 num_examples: 159384 download_size: 362775883 dataset_size: 429001403 - config_name: gt features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 13318069 num_examples: 22971 - name: test num_bytes: 2693119 num_examples: 4630 download_size: 21408590 dataset_size: 16011188 - config_name: hn features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 15375966 num_examples: 26818 - name: test num_bytes: 3249051 num_examples: 5608 download_size: 25774341 dataset_size: 18625017 - config_name: mx features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: test num_bytes: 4907428 num_examples: 8400 - name: train num_bytes: 18643202 num_examples: 32258 download_size: 30010221 dataset_size: 23550630 - config_name: ni features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 16007834 num_examples: 28064 - name: test num_bytes: 3427465 num_examples: 5902 download_size: 18075240 dataset_size: 19435299 - config_name: no_country features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 206535557 num_examples: 358014 - name: test num_bytes: 59243367 num_examples: 99385 download_size: 114445241 dataset_size: 265778924 - config_name: pa features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14785430 num_examples: 25760 - name: test num_bytes: 3411953 num_examples: 5801 download_size: 16896864 dataset_size: 18197383 - config_name: pe features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14663157 num_examples: 25531 - name: test num_bytes: 3392379 num_examples: 5804 download_size: 15811974 dataset_size: 18055536 - config_name: pr features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 15346938 num_examples: 26672 - name: test num_bytes: 3681957 num_examples: 6280 download_size: 17739824 dataset_size: 19028895 - config_name: py features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14178292 num_examples: 24717 - name: test num_bytes: 3145829 num_examples: 5474 download_size: 15787492 dataset_size: 17324121 - config_name: sv features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14769527 num_examples: 25920 - name: test num_bytes: 3392693 num_examples: 5821 download_size: 16835738 dataset_size: 18162220 - config_name: us features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 13381212 num_examples: 23197 - name: test num_bytes: 2663961 num_examples: 4535 download_size: 13487908 dataset_size: 16045173 - config_name: uy features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 11850558 num_examples: 20856 - name: test num_bytes: 3147987 num_examples: 5571 download_size: 14105612 dataset_size: 14998545 - config_name: ve features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 15672822 num_examples: 26730 - name: test num_bytes: 3680937 num_examples: 6126 download_size: 17526276 dataset_size: 19353759 configs: - config_name: ar data_files: - split: train path: ar/train-* - split: test path: ar/test-* - config_name: bo data_files: - split: train path: bo/train-* - split: test path: bo/test-* - config_name: cl data_files: - split: train path: cl/train-* - split: test path: cl/test-* - config_name: co data_files: - split: train path: co/train-* - split: test path: co/test-* - config_name: cr data_files: - split: train path: cr/train-* - split: test path: cr/test-* - config_name: cu data_files: - split: train path: cu/train-* - split: test path: cu/test-* - config_name: do data_files: - split: train path: do/train-* - split: test path: do/test-* - config_name: ec data_files: - split: train path: ec/train-* - split: test path: ec/test-* - config_name: es data_files: - split: train path: es/train-* - split: test path: es/test-* - config_name: full data_files: - split: train path: full/train-* - split: test path: full/test-* - config_name: gt data_files: - split: train path: gt/train-* - split: test path: gt/test-* - config_name: hn data_files: - split: train path: hn/train-* - split: test path: hn/test-* - config_name: mx data_files: - split: train path: mx/train-* - split: test path: mx/test-* - config_name: ni data_files: - split: train path: ni/train-* - split: test path: ni/test-* - config_name: no_country data_files: - split: train path: no_country/train-* - split: test path: no_country/test-* - config_name: pa data_files: - split: train path: pa/train-* - split: test path: pa/test-* - config_name: pe data_files: - split: train path: pe/train-* - split: test path: pe/test-* - config_name: pr data_files: - split: train path: pr/train-* - split: test path: pr/test-* - config_name: py data_files: - split: train path: py/train-* - split: test path: py/test-* - config_name: sv data_files: - split: train path: sv/train-* - split: test path: sv/test-* - config_name: us data_files: - split: train path: us/train-* - split: test path: us/test-* - config_name: uy data_files: - split: train path: uy/train-* - split: test path: uy/test-* - config_name: ve data_files: - split: train path: ve/train-* - split: test path: ve/test-* --- # Dataset Card for MessIRve **MessIRve** is a **large-scale dataset for Spanish IR**, designed to better capture the information needs of Spanish speakers across different countries. Queries are obtained from Google's autocomplete API (www.google.com/complete), and relevant documents are Spanish Wikipedia paragraphs containing answers from Google Search "featured snippets". This data collection strategy is inspired by [GooAQ](https://github.com/allenai/gooaq/tree/main). The files presented here are the qrels. The style in which they are displayed makes them easier to explore, as it includes the full texts of documents and queries. * For the conventional TREC-style topics and qrels files, refer to https://huggingface.co./datasets/spanish-ir/messirve-trec * The corpus of documents that accompanies this dataset is https://huggingface.co./datasets/spanish-ir/eswiki_20240401_corpus ## Dataset Details ### Dataset Description - **Language(s) (NLP):** Spanish - **License:** CC BY-NC 4.0. The dataset should not be used for any commercial purpose. ### Dataset Sources - **Repository:** TBA - **Paper:** [MessIRve: A Large-Scale Spanish Information Retrieval Dataset](http://arxiv.org/abs/2409.05994) ## Uses The dataset is meant to be used to train and evaluate Spanish IR models. ## Dataset Structure ### Data Instances A typical instance of one subset of the dataset looks like: ``` { 'id': 4918739, 'query': 'a cual dedo se pone el anillo de compromiso', 'docid': '956254#2', 'docid_text': 'Pero desde hace cientos de años, se dice que la vena amoris pasa por el dedo anular izquierdo que conecta directamente al corazón (téngase en cuenta que la vena amoris no existe realmente). Tradicionalmente, es ofrecido por el hombre como regalo a su novia mientras o cuando ella accede a la proposición de matrimonio. Representa una aceptación formal del futuro compromiso.', 'query_date': "2024-03-30", 'answer_date': "2024-04-19", 'match_score': 0.74, 'expanded_search': false, 'answer_type': 'feat_snip' } ``` ### Data Fields - `id`: query id - `query`: query text - `docid`: relevant document id in the corpus - `docid_text`: relevant document text - `query_date`: date the query was extracted - `answer_date`: date the answer was extracted - `match_score`: the longest string in the SERP answer that is a substring of the matched document text, as a ratio of the length of the SERP answer - `expanded_search`: if the SERP returned a message indicating that the search was "expanded" with additional results ("se incluyen resultados de...") - `answer_type`: type of answer extracted (`feat_snippet`, featured snippets, are the most important) ### Data Splits We extract queries from Google's autocomplete API for 20 countries with Spanish as an official language, plus the United States. Equatorial Guinea was the only country left out because it doesn't have a Google domain. Some API results were independent of the country-specific domain, many queries are not specific of any country. These are included under the country label _none_. Queries from _none_ were combined with the set of unique queries from all countries and included in the _full_ subset. Unlike the country-specific sets, in the _full_ set some queries can have multiple relevant documents because the same query may return different featured snippets in different country domains. The dataset is partitioned into training and test queries in such a way that the Wikipedia article to which the paragraph belongs is present in only one of the splits. The partitioning was done by country, with about 20\% of the articles assigned to the test set. Moreover, test instances always have match_score = 1 and expanded_search = False. For further detail, such as statistics for each subset and split, see the paper. ## Citation **BibTeX:** ```bibtex @article{valentini2024messirve, title={MessIRve: A Large-Scale Spanish Information Retrieval Dataset}, author={Francisco Valentini and Viviana Cotik and Damián Furman and Ivan Bercovich and Edgar Altszyler and Juan Manuel Pérez}, year={2024}, eprint={2409.05994}, journal={arxiv:2409.05994}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2409.05994}, } ``` **APA:** Francisco Valentini, Viviana Cotik, Damián Furman, Ivan Bercovich, Edgar Altszyler, & Juan Manuel Pérez (2024). MessIRve: A Large-Scale Spanish Information Retrieval Dataset. arxiv:2409.05994.