--- 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: 12747954 num_examples: 22261 - name: test num_bytes: 3347551 num_examples: 5780 download_size: 14398170 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: 14642058 num_examples: 25015 - name: test num_bytes: 2767866 num_examples: 4707 download_size: 15471130 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: 12782903 num_examples: 22330 - name: test num_bytes: 3200254 num_examples: 5564 download_size: 14189360 dataset_size: 15983157 - 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: 14871584 num_examples: 25589 - name: test num_bytes: 3525180 num_examples: 5992 download_size: 16536184 dataset_size: 18396764 - 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: 13709906 num_examples: 23605 - name: test num_bytes: 3367106 num_examples: 5747 download_size: 15873526 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: 12577997 num_examples: 21805 - name: test num_bytes: 2971491 num_examples: 5053 download_size: 14055252 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: 16123501 num_examples: 27470 - name: test num_bytes: 3406703 num_examples: 5719 download_size: 17783516 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: 16024358 num_examples: 27289 - name: test num_bytes: 3895337 num_examples: 6384 download_size: 18372044 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: 13320680 num_examples: 23115 - name: test num_bytes: 4344109 num_examples: 7509 download_size: 16134864 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: 333360243 num_examples: 571120 download_size: 136304127 dataset_size: 333360243 - config_name: general 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: 328791283 num_examples: 571120 - name: test num_bytes: 94360368 num_examples: 160099 download_size: 196043788 dataset_size: 423151651 - 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: 13488775 num_examples: 23311 - name: test num_bytes: 2522413 num_examples: 4290 download_size: 7119300 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: 15268575 num_examples: 26736 - name: test num_bytes: 3356442 num_examples: 5690 download_size: 8599342 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: train num_bytes: 18443191 num_examples: 31957 - name: test num_bytes: 4907428 num_examples: 8400 download_size: 10812837 dataset_size: 23350619 - 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: 9037620 dataset_size: 19435299 - 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: 8448432 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: 7905987 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: 8869912 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: 7893746 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: 8417869 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: 6743954 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: 7052806 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: 8763138 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-* - config_name: general data_files: - split: train path: general/train-* - split: test path: general/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: 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 [More Information Needed] <!-- Provide a quick summary of the dataset. --> This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> ### Data Instances <!-- Provide an JSON-formatted example and brief description of a typical instance in the dataset. If available, provide a link to further examples. ``` { 'example_field': ..., ... } ``` Provide any additional information that is not covered in the other sections about the data here. In particular describe any relationships between data points and if these relationships are made explicit. --> [More Information Needed] ### 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) <!-- Note that the descriptions can be initialized with the **Show Markdown Data Fields** output of the [Datasets Tagging app](https://huggingface.co/spaces/huggingface/datasets-tagging), you will then only need to refine the generated descriptions. --> ### Data Splits <!-- Describe and name the splits in the dataset if there are more than one. Describe any criteria for splitting the data, if used. If there are differences between the splits (e.g. if the training annotations are machine-generated and the dev and test ones are created by humans, or if different numbers of annotators contributed to each example), describe them here. Provide the sizes of each split. As appropriate, provide any descriptive statistics for the features, such as average length. For example: | | train | validation | test | |-------------------------|------:|-----------:|-----:| | Input Sentences | | | | | Average Sentence Length | | | | --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]