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  ---
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  # For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
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  # Doc / guide: https://huggingface.co/docs/hub/datasets-cards
 
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  task_categories:
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- - text-classification
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  task_ids:
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- - multi-class-classification
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- pretty_name: ISCO-ESCO Occupations Taxonomy
 
 
 
 
 
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  dataset_info:
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- - config_name: isco_occupations
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- features:
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- - name: text
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- dtype: string
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- - name: labels
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- - name: validation
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- download_size: 8654054
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- dataset_size: 2844840
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  train-eval-index:
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- - config: isco_occupations
675
- task: text-classification
676
- task_id: multi-class-classification
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- splits:
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- train_split: train
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- eval_split: validation
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- col_mapping:
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- text: text
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- label: labels
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- metrics:
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- - type: accuracy
685
- name: Accuracy
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
686
  ---
687
 
688
  # Dataset Card for {{ pretty_name | default("Dataset Name", true) }}
 
1
  ---
2
  # For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
3
  # Doc / guide: https://huggingface.co/docs/hub/datasets-cards
4
+ pretty_name: ISCO-ESCO Occupations Taxonomy
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  task_categories:
6
+ - text-classification
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  task_ids:
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+ - multi-class-classification
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+ tags:
10
+ - occupation coding
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+ - ESCO
12
+ - ISCO-08
13
+ source_datasets:
14
+ - European Commission ESCO
15
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610
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611
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612
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613
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614
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615
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619
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621
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623
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626
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628
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629
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631
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632
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633
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634
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635
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636
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637
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641
+ '617': '9624'
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+ '618': '9629'
643
+ splits:
644
+ - name: train
645
+ num_bytes: 248076
646
+ num_examples: 7018
647
+ - name: validation
648
+ num_bytes: 248076
649
+ num_examples: 7018
650
+ download_size: 458547
651
+ dataset_size: 496152
652
+ configs:
653
+ - config_name: isco_occupations
654
+ data_files:
655
+ - split: train
656
+ path: data/isco_occupations.jsonl
657
+ default: true
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
658
  train-eval-index:
659
+ - config: isco_occupations
660
+ task: text-classification
661
+ task_id: multi-class-classification
662
+ splits:
663
+ train_split: train
664
+ col_mapping:
665
+ text: text
666
+ label: labels
667
+ metrics:
668
+ - type: accuracy
669
+ name: Accuracy
670
+ - type: f1
671
+ name: F1 macro
672
+ args:
673
+ average: macro
674
+ - type: f1
675
+ name: F1 micro
676
+ args:
677
+ average: micro
678
+ - type: f1
679
+ name: F1 weighted
680
+ args:
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+ average: weighted
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+ - type: precision
683
+ name: Precision macro
684
+ args:
685
+ average: macro
686
+ - type: precision
687
+ name: Precision micro
688
+ args:
689
+ average: micro
690
+ - type: precision
691
+ name: Precision weighted
692
+ args:
693
+ average: weighted
694
+ - type: recall
695
+ name: Recall macro
696
+ args:
697
+ average: macro
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+ - type: recall
699
+ name: Recall micro
700
+ args:
701
+ average: micro
702
+ - type: recall
703
+ name: Recall weighted
704
+ args:
705
+ average: weighted
706
+ - type: danieldux/isco_hierarchical_accuracy
707
+ name: ISCO Hierarchical Accuracy
708
  ---
709
 
710
  # Dataset Card for {{ pretty_name | default("Dataset Name", true) }}