README.md

---
license: mit
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: results
    struct:
    - name: Alpha
      struct:
      - name: mean
        dtype: float64
      - name: ci
        sequence: float64
    - name: Beta
      struct:
      - name: mean
        dtype: float64
      - name: ci
        sequence: float64
    - name: Neutral
      struct:
      - name: mean
        dtype: float64
      - name: ci
        sequence: float64
    - name: Sigma
      struct:
      - name: mean
        dtype: float64
      - name: ci
        sequence: float64
  - name: sigma_score
    dtype: float64
  - name: model_name
    dtype: string
  - name: torch_dtype
    dtype: string
  - name: timestamp
    dtype: string
  - name: n_bootstrap
    dtype: int64
  splits:
  - name: train
    num_bytes: 18677
    num_examples: 95
  download_size: 15158
  dataset_size: 18677
language:
- en
tags:
- hellasigma
- eval
- personality
---

# pszemraj/hellasigma-results


Results for [hellasigma](https://huggingface.co/datasets/pszemraj/hellasigma). The sigma score is computed as follows:



![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/oSpwtTpqY_Ktvh8BNTw56.jpeg)

To use this as a primitive leaderboard, click on the "sort descending" arrow:


![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/ZsRjS71_b4L2-TVmxGRfY.png)

## results

### oct 30, 2024


![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/zk42S_WOz791XcCaUTJpR.png)