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license: cc-by-nc-2.0
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.
The files presented is the qrels. It is presented in a format such that it is easy to be explored, since it includes the queries' and documents' texts.
- 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 2.0
Dataset Sources
- Repository: TBA
- Paper: TBA
Uses
Direct Use
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 idquery: query textdocid: relevant document id in the corpusdocid_text: relevant document textquery_date: date the query was extractedanswer_date: date the answer was extractedmatch_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 answerexpanded_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
[More Information Needed]
Citation
BibTeX:
[More Information Needed]
APA:
[More Information Needed]