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Datasets:
danieldux
/
ESCO

Tasks:
Text Classification
Zero-Shot Classification
Feature Extraction
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-label-classification
multi-class-classification
Languages:
English
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
1
danieldux commited on
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1
  ---
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  license: cc
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: cc
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+ task_categories:
4
+ - text-classification
5
+ - token-classification
6
+ - zero-shot-classification
7
+ - feature-extraction
8
+ - text2text-generation
9
+ - sentence-similarity
10
+ language:
11
+ - en
12
+ pretty_name: Multilingual classification of European Skills, Competences, and Occupations
13
+ size_categories:
14
+ - n<1K
15
+
16
+ dataset_info:
17
+ - config_name: isco_occupations
18
+ features:
19
+ - name: ISCO_OCCUPATION
20
+ dtype: string
21
+ - name: ISCO_CODE
22
+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '01'
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+ '2': '011'
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572
+ '547': '821'
573
+ '548': '8211'
574
+ '549': '8212'
575
+ '550': '8219'
576
+ '551': '83'
577
+ '552': '831'
578
+ '553': '8311'
579
+ '554': '8312'
580
+ '555': '832'
581
+ '556': '8321'
582
+ '557': '8322'
583
+ '558': '833'
584
+ '559': '8331'
585
+ '560': '8332'
586
+ '561': '834'
587
+ '562': '8341'
588
+ '563': '8342'
589
+ '564': '8343'
590
+ '565': '8344'
591
+ '566': '835'
592
+ '567': '8350'
593
+ '568': '9'
594
+ '569': '91'
595
+ '570': '911'
596
+ '571': '9111'
597
+ '572': '9112'
598
+ '573': '912'
599
+ '574': '9121'
600
+ '575': '9122'
601
+ '576': '9123'
602
+ '577': '9129'
603
+ '578': '92'
604
+ '579': '921'
605
+ '580': '9211'
606
+ '581': '9212'
607
+ '582': '9213'
608
+ '583': '9214'
609
+ '584': '9215'
610
+ '585': '9216'
611
+ '586': '93'
612
+ '587': '931'
613
+ '588': '9311'
614
+ '589': '9312'
615
+ '590': '9313'
616
+ '591': '932'
617
+ '592': '9321'
618
+ '593': '9329'
619
+ '594': '933'
620
+ '595': '9331'
621
+ '596': '9332'
622
+ '597': '9333'
623
+ '598': '9334'
624
+ '599': '94'
625
+ '600': '941'
626
+ '601': '9411'
627
+ '602': '9412'
628
+ '603': '95'
629
+ '604': '951'
630
+ '605': '9510'
631
+ '606': '952'
632
+ '607': '9520'
633
+ '608': '96'
634
+ '609': '961'
635
+ '610': '9611'
636
+ '611': '9612'
637
+ '612': '9613'
638
+ '613': '962'
639
+ '614': '9621'
640
+ '615': '9622'
641
+ '616': '9623'
642
+ '617': '9624'
643
+ '618': '9629'
644
+ splits:
645
+ - name: train
646
+ num_bytes: 248076
647
+ num_examples: 7018
648
+ configs:
649
+ - config_name: isco_occupations
650
+ data_files:
651
+ - split: train
652
+ path: data/isco_occupations.jsonl
653
+ default: true
654
+ - config_name: isco_taxonomy
655
+ data_files:
656
+ - split: train
657
+ path: data/isco_taxonomy.jsonl
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: ISCO_OCCUPATION
666
+ label: ISCO_CODE
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:
681
+ average: weighted
682
+ - 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
698
+ - 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
+ ---