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Datasets:
ImperialCollegeLondon
/
health_fact

Tasks:
Text Classification
Sub-tasks:
fact-checking
multi-class-classification
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
Dataset card Files Community
4
lhoestq HF staff commited on
Commit
8017a38
•
1 Parent(s): 95ae307

add dataset_info in dataset metadata

Browse files
Files changed (1) hide show
  1. README.md +77 -39
README.md CHANGED
@@ -31,44 +31,82 @@ train-eval-index:
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  claim: text
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  label: target
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  metrics:
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- - type: accuracy
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- name: Accuracy
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- - type: f1
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- name: F1 macro
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- args:
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- average: macro
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- - type: f1
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- name: F1 micro
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- args:
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- average: micro
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- - type: f1
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- name: F1 weighted
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- args:
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- average: weighted
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- - type: precision
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- name: Precision macro
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- args:
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- average: macro
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- - type: precision
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- name: Precision micro
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- args:
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- average: micro
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- - type: precision
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- name: Precision weighted
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- args:
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- average: weighted
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- - type: recall
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- name: Recall macro
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- args:
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- average: macro
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- - type: recall
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- name: Recall micro
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- args:
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- average: micro
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- - type: recall
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- name: Recall weighted
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- args:
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- average: weighted
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for PUBHEALTH
@@ -230,4 +268,4 @@ MIT License
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  ```
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  ### Contributions
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- Thanks to [@bhavitvyamalik](https://github.com/bhavitvyamalik) for adding this dataset.
 
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  claim: text
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  label: target
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  metrics:
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+ - type: accuracy
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+ name: Accuracy
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+ - type: f1
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+ name: F1 macro
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+ args:
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+ average: macro
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+ - type: f1
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+ name: F1 micro
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+ args:
43
+ average: micro
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+ - type: f1
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+ name: F1 weighted
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+ args:
47
+ average: weighted
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+ - type: precision
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+ name: Precision macro
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+ args:
51
+ average: macro
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+ - type: precision
53
+ name: Precision micro
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+ args:
55
+ average: micro
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+ - type: precision
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+ name: Precision weighted
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+ args:
59
+ average: weighted
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+ - type: recall
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+ name: Recall macro
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+ args:
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+ average: macro
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+ - type: recall
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+ name: Recall micro
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+ args:
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+ average: micro
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+ - type: recall
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+ name: Recall weighted
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+ args:
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+ average: weighted
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+ dataset_info:
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+ features:
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+ - name: claim_id
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+ dtype: string
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+ - name: claim
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+ dtype: string
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+ - name: date_published
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+ dtype: string
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+ - name: explanation
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+ dtype: string
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+ - name: fact_checkers
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+ dtype: string
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+ - name: main_text
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+ dtype: string
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+ - name: sources
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+ dtype: string
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+ - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ 0: 'false'
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+ 1: mixture
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+ 2: 'true'
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+ 3: unproven
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+ - name: subjects
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+ dtype: string
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+ splits:
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+ - name: test
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+ num_bytes: 6825221
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+ num_examples: 1235
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+ - name: train
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+ num_bytes: 53985377
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+ num_examples: 9832
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+ - name: validation
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+ num_bytes: 6653044
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+ num_examples: 1225
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+ download_size: 24892660
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+ dataset_size: 67463642
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  ---
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  # Dataset Card for PUBHEALTH
 
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  ```
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  ### Contributions
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+ Thanks to [@bhavitvyamalik](https://github.com/bhavitvyamalik) for adding this dataset.