Datasets:
metadata
dataset_info:
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configs:
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data_files:
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path: ar/train-*
- split: test
path: ar/test-*
- config_name: bo
data_files:
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path: bo/train-*
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path: bo/test-*
- config_name: cl
data_files:
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path: cl/train-*
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path: cl/test-*
- config_name: co
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path: co/train-*
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path: co/test-*
- config_name: cr
data_files:
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path: cr/train-*
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path: cr/test-*
- config_name: cu
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- config_name: do
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- config_name: ec
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- config_name: es
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- config_name: full
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- config_name: general
data_files:
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path: general/train-*
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- config_name: gt
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- config_name: hn
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path: hn/test-*
- config_name: mx
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path: mx/train-*
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path: mx/test-*
- config_name: ni
data_files:
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path: ni/test-*
- config_name: no_country
data_files:
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path: no_country/train-*
- split: test
path: no_country/test-*
- config_name: pa
data_files:
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path: pa/train-*
- split: test
path: pa/test-*
- config_name: pe
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path: pe/train-*
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path: pe/test-*
- config_name: pr
data_files:
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path: pr/train-*
- split: test
path: pr/test-*
- config_name: py
data_files:
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path: py/train-*
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path: py/test-*
- config_name: sv
data_files:
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path: sv/train-*
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path: sv/test-*
- config_name: us
data_files:
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path: us/train-*
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path: us/test-*
- config_name: uy
data_files:
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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]
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
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Uses
Direct Use
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Out-of-Scope Use
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Dataset Structure
Data Instances
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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
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Dataset Creation
Curation Rationale
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Source Data
Data Collection and Processing
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Who are the source data producers?
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Annotation process
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Personal and Sensitive Information
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Bias, Risks, and Limitations
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Recommendations
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