Update README.md

README.md

@@ -11,4 +11,49 @@ tags:
 pretty_name: 'HATS: Human-Assessed Transcription Side-by-side'
 size_categories:
 - 1K<n<10K
----
+---
+
+## 🗃️ HATS Dataset
+
+**HATS** (**H**uman **A**ssessed **T**ranscription **S**ide-by-Side) is a data set for French 🇫🇷 which consists of 1,000 triplets (reference, hypothesis A, hypothesis B) and 7,150 human choice annotated by 143 subjects 🫂 Their objective was to select, given a textual reference, which of two erroneous hypotheses is the best.
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+
+
+- **Curated by:** Thibault Bañeras-Roux, Richard Dufour, Jane Wottawa, Mickael Rouvier, Teva Merlin
+- **Funded by:** Agence Nationale de la Recherche - DIETS project (contract ANR-20-CE23-0005)
+- **Language:** French 🇫🇷
+- **License:** MIT
+
+
+## 🧑‍🏫 Metric-Evaluator
+
+This toolkit calculates the percentage of time a metric agrees with human judgments. Recognizing that human judgments can vary, instances arise where no consensus exists, and choices may be influenced by randomness 🎲 To filter the dataset based on consensus cases, utilize the certitude argument. This parameter represents the percentage of humans who selected the same hypothesis (set it to 1 when 100% of subjects make the same choice, and 0.7 when 70% of subjects choose the same hypothesis)."
+
+### 📊 Results
+
+| Metrics                          | 100%      | 70%       | Full      |
+| -------------------------------- | --------- | --------- | --------- |
+| Word Error Rate                  | 63%       | 53%       | 49%       |
+| Character Error Rate             | 77%       | 64%       | 60%       |
+| BERTScore CamemBERT-large        | 80%       | 68%       | 65%       |
+| SemDist CamemBERT-large          | 80%       | 71%       | 67%       |
+| SemDist Sentence CamemBERT-large | **90%**   | **78%**   | **73%**   |
+| Phoneme Error Rate               | 80%       | 69%       | 64%       |
+
+To add the results of your metric, contact me at **thibault [le dot] roux [le at] uclouvain.be** ✉️
+
+
+## 📜 Citation
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+```
+@inproceedings{baneras2023hats,
+  title={HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics},
+  author={Ba{\~n}eras-Roux, Thibault and Wottawa, Jane and Rouvier, Mickael and Merlin, Teva and Dufour, Richard},
+  booktitle={Text, Speech and Dialogue 2023 - Interspeech Satellite},
+  year={2023}
+}
+```