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  1. .gitattributes +11 -0
  2. BN-Bangla/BN-Bangla_bn_dev.conll +0 -0
  3. BN-Bangla/BN-Bangla_bn_test.conll +0 -0
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  13. ES-Spanish/README.md +55 -0
  14. ES-Spanish/es_test.conll +3 -0
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  20. FR-French/fr_test.conll +3 -0
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  26. IT-Italian/it_test.conll +3 -0
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  28. MULTI-Multilingual/multi_test.conll +3 -0
  29. MULTI-Multilingual/multi_train.conll +3 -0
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  31. PT-Portuguese/PT-Portuguese_pt_train.conll +0 -0
  32. PT-Portuguese/dev.json +0 -0
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  34. PT-Portuguese/pt_test.conll +3 -0
  35. PT-Portuguese/test.json +3 -0
  36. PT-Portuguese/train.json +0 -0
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  38. SV-Swedish/SV-Swedish_sv_train.conll +0 -0
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  42. UK-Ukranian/uk_test.conll +3 -0
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  44. ZH-Chinese/ZH-Chinese_zh_test.conll +0 -0
  45. ZH-Chinese/ZH-Chinese_zh_train.conll +0 -0
  46. readme.txt.txt +0 -0
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+ # README
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+
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+ # Dataset Card para Multiconer(ES).
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+
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+ ## Dados Gerais
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+
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+ - **Nome:** MultiConer (ES)
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+ - **Página WEB:** https://huggingface.co/datasets/MultiCoNER/multiconer_v2
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+ - **Repositório:** https://huggingface.co/datasets/MultiCoNER/multiconer_v2
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+ - **Artigo:** https://arxiv.org/abs/2310.13213, https://arxiv.org/abs/2305.06586
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+ - **Licença:** CC BY 4.0
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+
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+ ## Resumo
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+
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+ Udo pretendido é para NER. O dataset é multilingual. Adotou-se para a descrição o idioma espanhol.
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+
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+ ## Utilização Pretendida
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+
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+ Token-classification.
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+
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+ ## Idiomas
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+
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+ Bengali, Chinês, Alemão, Inglês, Espanhol, Persa, Francês, Hindi, Italiano, Português, Sueco, Ucraniano.
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+
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+ ## Criação
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+
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+ URL dataset original: https://huggingface.co/datasets/MultiCoNER/multiconer_v2
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+
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+ ## Estrutura
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+
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+ ### Amostras
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+
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+ Um exemplo de amostra do dataset:
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+
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+ ```json
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+ {
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+ "id": "0",
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+ "sample_id": "0217d78c-2e27-4899-8263-e1dd427bd98f",
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+ "tokens": "[ "el", "22", "de", "agosto", "de", "2018", "se", "anunció", "que", "john", "lithgow",...",
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+ "ner_tags": "[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-Artist", "I-Artist", "O", "O", "O",...]",
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+ "ner_tags_index": "[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 41, 42, 0, 0, 0, 0, 0, 0, 0, 45, 46, 0 ]"
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+ }
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+ ```
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+
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+ ### Campos dos Dados
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+
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+ - [id]: [Corresponde ao índice do registro]
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+ - [sample_id]: [Corresponde ao índice da amostra]
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+ - [tokens]: [Corresponde ao texto de entrada tokenizado]
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+ - [ner_tags]: [Corresponde às tags dos tipos de entidade]
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+ - [ner_tags_index]: [Corresponde aos índices dos tipos de entidades]
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+
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+ ### Divisão dos Dados
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+
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+ Dados divididos em treino, validação e teste. O de teste apresenta 247 mil registros.
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