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+ ---
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+ license: mit
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+ datasets:
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+ - DFKI-SLT/tacred
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+ language:
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+ - en
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+ metrics:
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+ - f1
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+ library_name: transformers
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+ pipeline_tag: text-classification
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+
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+ # Optional. Add this if you want to encode your eval results in a structured way.
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+ model-index:
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+ - name: re_bert-base_tacred
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+ results:
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+ - task:
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+ type: relation-classification # Required. Example: automatic-speech-recognition
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+ name: Relation Classification # Optional. Example: Speech Recognition
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+ dataset:
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+ type: DFKI-SLT/tacred # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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+ name: TAC Relation Extraction Dataset # Required. A pretty name for the dataset. Example: Common Voice (French)
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+ config: revisited # Optional. The name of the dataset configuration used in `load_dataset()`. Example: fr in `load_dataset("common_voice", "fr")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/package_reference/loading_methods#datasets.load_dataset.name
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+ split: test # Optional. Example: test
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+ metrics:
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+ - type: f1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: 0.7985 # Required. Example: 20.90
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+ name: test/f1 # Optional. Example: Test WER
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+ verified: false # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
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+ ---