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Datasets:
google-research-datasets
/
natural_questions

Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
open-domain-qa
Languages:
English
Size:
10K - 100K
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files Community
8

Replace script with data files

#7
by mariosasko - opened
base: refs/heads/main
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from: refs/pr/7
Discussion Files changed
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Files changed (50) hide show
  1. README.md +116 -18
  2. dataset_infos.json +0 -1
  3. default/train-00000-of-00287.parquet +3 -0
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README.md CHANGED
@@ -20,6 +20,90 @@ task_ids:
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  paperswithcode_id: natural-questions
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  pretty_name: Natural Questions
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  dataset_info:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  features:
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  - name: id
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  dtype: string
@@ -37,12 +121,28 @@ dataset_info:
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  dtype: string
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  - name: is_html
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  dtype: bool
 
 
 
 
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  - name: question
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  struct:
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  - name: text
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  dtype: string
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  - name: tokens
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  sequence: string
 
 
 
 
 
 
 
 
 
 
 
 
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  - name: annotations
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  sequence:
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  - name: id
@@ -57,6 +157,8 @@ dataset_info:
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  dtype: int64
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  - name: end_byte
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  dtype: int64
 
 
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  - name: short_answers
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  sequence:
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  - name: start_token
@@ -75,27 +177,23 @@ dataset_info:
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  names:
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  '0': 'NO'
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  '1': 'YES'
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- - name: long_answer_candidates
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- sequence:
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- - name: start_token
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- dtype: int64
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- dtype: int64
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- - name: top_label
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- dtype: bool
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  splits:
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- - name: train
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- num_bytes: 97445142568
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- num_examples: 307373
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  - name: validation
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- num_bytes: 2353975312
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  num_examples: 7830
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- download_size: 45069199013
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- dataset_size: 99799117880
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for Natural Questions
 
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  paperswithcode_id: natural-questions
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  pretty_name: Natural Questions
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  dataset_info:
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+ - config_name: default
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: document
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+ struct:
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+ - name: html
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+ dtype: string
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+ - name: title
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+ - name: tokens
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+ - name: token
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+ - name: url
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+ dtype: string
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+ - name: question
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+ struct:
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+ - name: tokens
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+ - name: long_answer_candidates
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+ - name: annotations
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+ - name: id
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+ dtype: string
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+ - name: long_answer
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+ - name: candidate_index
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+ dtype: int64
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+ - name: end_byte
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+ dtype: int64
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+ - name: start_byte
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+ dtype: int64
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+ - name: start_token
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+ dtype: int64
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+ - name: short_answers
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+ sequence:
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+ - name: end_byte
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+ dtype: int64
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+ - name: end_token
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+ dtype: int64
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+ - name: start_byte
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+ dtype: int64
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+ - name: start_token
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+ dtype: int64
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+ - name: text
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+ - name: yes_no_answer
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+ dtype:
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+ class_label:
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+ names:
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+ '0': 'NO'
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+ '1': 'YES'
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+ splits:
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+ - name: train
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+ num_bytes: 143039948860
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+ num_examples: 307373
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+ - name: validation
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+ num_bytes: 3451288641
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+ num_examples: 7830
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+ download_size: 56843626971
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+ dataset_size: 146491237501
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+ - config_name: dev
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  features:
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  - name: id
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  dtype: string
 
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  dtype: string
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  - name: is_html
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  dtype: bool
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+ - name: start_byte
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+ dtype: int64
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+ - name: end_byte
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+ dtype: int64
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  - name: question
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  struct:
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  - name: text
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  dtype: string
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  - name: tokens
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  sequence: string
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+ - name: long_answer_candidates
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+ sequence:
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+ - name: start_token
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+ dtype: int64
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+ - name: end_token
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+ dtype: int64
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+ - name: start_byte
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+ dtype: int64
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+ - name: end_byte
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+ - name: top_level
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+ dtype: bool
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  - name: annotations
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  sequence:
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  - name: id
 
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  dtype: int64
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  - name: end_byte
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  dtype: int64
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+ - name: candidate_index
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+ dtype: int64
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  - name: short_answers
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  sequence:
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  - name: start_token
 
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  names:
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  '0': 'NO'
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  '1': 'YES'
 
 
 
 
 
 
 
 
 
 
 
 
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  splits:
 
 
 
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  - name: validation
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+ num_bytes: 3451288639
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  num_examples: 7830
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+ download_size: 1337126358
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+ dataset_size: 3451288639
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: default/train-*
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+ - split: validation
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+ path: default/validation-*
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+ - config_name: dev
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+ data_files:
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+ - split: validation
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+ path: dev/validation-*
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  ---
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  # Dataset Card for Natural Questions
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"default": {"description": "\nThe NQ corpus contains questions from real users, and it requires QA systems to\nread and comprehend an entire Wikipedia article that may or may not contain the\nanswer to the question. The inclusion of real user questions, and the\nrequirement that solutions should read an entire page to find the answer, cause\nNQ to be a more realistic and challenging task than prior QA datasets.\n", "citation": "\n@article{47761,\ntitle\t= {Natural Questions: a Benchmark for Question Answering Research},\nauthor\t= {Tom Kwiatkowski and Jennimaria Palomaki and Olivia Redfield and Michael Collins and Ankur Parikh and Chris Alberti and Danielle Epstein and Illia Polosukhin and Matthew Kelcey and Jacob Devlin and Kenton Lee and Kristina N. 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