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- Supervisionado/MultiNERD/README.md +51 -0
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["geographical social political", "organization", "person", "location", "facility", "vehicle", "weapon"]
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["organization", "person", "geographical social political", "vehicle", "location", "weapon", "facility"]
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["Anatomy"]
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["manufacturing standard", "machanical property", "manufacturing process", "material", "engineering feature", "process parameter", "machine or equipment", "application", "process characterization", "enabling technology", "biomedical", "concept or principle"]
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["vehicle type", "position of vehicle", "color of vehicle", "orientation of vehicle", "vehicle velocity", "vehicle range", "brand of vehicle", "vehicle model", "SUV", "hatchback", "sports car", "sedan", "bus", "truck", "vintage car", "coupe", "roadster", "estate car", "motorcycle", "MPV", "van"]
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["cell line", "protein", "RNA", "DNA", "cell type"]
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["exact location", "area", "road", "river"]
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# README
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# Dataset Card para Multinerd.
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## Dados Gerais
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- **Nome:** Multinerd
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- **Página WEB:** https://huggingface.co/datasets/Babelscape/multinerd
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- **Repositório:** https://github.com/Babelscape/multinerd
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- **Artigo:** https://aclanthology.org/multinerd
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- **Licença:** CC BY-NC-SA 4.0
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## Resumo
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Uso principal pretendido é para NER. O dataset é multilingual. Apresenta 15 tipos de entidades.
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## Utilização Pretendida
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Token classification (NER).
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## Idiomas
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Multilingual.
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## Criação
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URL dataset original: https://huggingface.co/datasets/Babelscape/multinerd
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## Estrutura
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### Amostras
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Um exemplo de amostra do dataset:
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```json
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{
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"tokens": "[ "In", "der", "Wissenschaft", "und", "dort", "vor", "allem", "in", "der", "Soziologie", "wird", "der", "Begriff", "Lebensführung", "traditionell", "stark"...",
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"ner_tags": "[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0 ]",
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}
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```
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### Campos dos Dados
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- [tokens]: [Corresponde ao texto de entrada tokenizado]
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- [ner_tags]: [Corresponde à representação numérica dos tipos de entidades encontrados nos tokens]
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### Divisão dos Dados
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O conjunto apresenta partições de treinamento, validação e teste. O conjunto de teste apresenta 336 mil registros.
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["media", "plant", "vehicle", "astronomical object", "time", "disease", "animal", "location", "person", "organization", "mythical figure", "food", "biology", "geographical phenomenon", "instrument", "event"]
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["date", "organization", "person", "geographical social political", "national religious political", "facility", "cardinal", "location", "work of art", "law", "event", "product", "ordinal", "percent", "time", "quantity", "money", "language"]
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["location", "person", "organization"]
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