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metadata
dataset_info:
  - config_name: ar
    features:
      - name: id
        dtype: int64
      - name: query
        dtype: string
      - name: docid
        dtype: string
      - name: docid_text
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      - name: query_date
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      - name: answer_date
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      - name: match_score
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  - config_name: bo
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  - config_name: general
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  - config_name: pe
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  - config_name: sv
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  - config_name: us
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  - config_name: uy
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  - config_name: ve
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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:
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        path: do/train-*
      - split: test
        path: do/test-*
  - config_name: ec
    data_files:
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        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: 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]

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

  • Curated by: [More Information Needed]
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  • Shared by [optional]: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
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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 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

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Dataset Creation

Curation Rationale

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Source Data

Data Collection and Processing

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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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