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  2. README.md +79 -0
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+ ---
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+ license: mit
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ dataset_info:
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+ features:
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+ - name: results
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+ struct:
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+ - name: Alpha
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+ struct:
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+ - name: Beta
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+ struct:
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+ - name: mean
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+ dtype: float64
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+ - name: ci
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+ sequence: float64
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+ - name: Neutral
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+ struct:
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+ - name: mean
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+ dtype: float64
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+ - name: ci
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+ sequence: float64
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+ - name: Sigma
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+ struct:
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+ - name: sigma_score
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+ dtype: string
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+ dtype: string
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+ - name: n_bootstrap
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+ dtype: int64
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+ splits:
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+ - name: train
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+ num_bytes: 18677
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+ num_examples: 95
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+ download_size: 15158
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+ dataset_size: 18677
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+ language:
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+ - en
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+ tags:
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+ - hellasigma
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+ - eval
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+ - personality
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+ ---
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+
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+ # pszemraj/hellasigma-results
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+
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+
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+ Results for [hellasigma](https://huggingface.co/datasets/pszemraj/hellasigma). The sigma score is computed as follows:
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+
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+
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+
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+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/oSpwtTpqY_Ktvh8BNTw56.jpeg)
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+
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+ To use this as a primitive leaderboard, click on the "sort descending" arrow:
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+
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/ZsRjS71_b4L2-TVmxGRfY.png)
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+
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+ ## results
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+
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+ ### oct 30, 2024
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+
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/zk42S_WOz791XcCaUTJpR.png)
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