Update README.md
Browse files
README.md
CHANGED
|
@@ -22,6 +22,8 @@ inference: false
|
|
| 22 |
|
| 23 |
This learned metric is for evaluating models trained on the TaTA dataset. It was trained as per instructions in [TaTA: A Multilingual Table-to-Text Dataset for African Languages](https://aclanthology.org/2023.findings-emnlp.118/) (StATA-QE variant).
|
| 24 |
|
|
|
|
|
|
|
| 25 |
The original file can be found [here](https://github.com/google-research/url-nlp/tree/main/tata).
|
| 26 |
|
| 27 |
# Performance
|
|
|
|
| 22 |
|
| 23 |
This learned metric is for evaluating models trained on the TaTA dataset. It was trained as per instructions in [TaTA: A Multilingual Table-to-Text Dataset for African Languages](https://aclanthology.org/2023.findings-emnlp.118/) (StATA-QE variant).
|
| 24 |
|
| 25 |
+
StATA takes as input a linearized table and an output verbalisation seperated by an " \[output\] " tag, and produces a score between 0 and 1. A score closer to 1 means the output is more understandable and atributable to the source table, a score closer to 0 is less so.
|
| 26 |
+
|
| 27 |
The original file can be found [here](https://github.com/google-research/url-nlp/tree/main/tata).
|
| 28 |
|
| 29 |
# Performance
|