Update README.md

README.md

@@ -15,6 +15,9 @@ language:
 - th
 - sw
 - bn
+- ca
+- gl
+- eu
 license:
 - cc-by-sa-4.0
 multilinguality:
@@ -419,7 +422,7 @@ configs:
 
 ### Dataset Summary
 
-Copy of [this MGSM Dataset](https://huggingface.co/datasets/juletxara/mgsm), but in training samples we removed the prompt formatting, e.g. removed `Question: ...` in question field or `Answer: ...` in answer field.
+Copy and merge of [this MGSM Dataset](https://huggingface.co/datasets/juletxara/mgsm), [Catalan version](https://huggingface.co/datasets/projecte-aina/mgsm_ca), [Basque version](https://huggingface.co/datasets/HiTZ/MGSM-eu), [Galician version](https://huggingface.co/datasets/proxectonos/mgsm_gl), but in training samples we removed the prompt formatting, e.g. removed `Question: ...` in question field or `Answer: ...` in answer field.
 Multilingual Grade School Math Benchmark (MGSM) is a benchmark of grade-school math problems, proposed in the paper [Language models are multilingual chain-of-thought reasoners](http://arxiv.org/abs/2210.03057).
 
 The same 250 problems from [GSM8K](https://arxiv.org/abs/2110.14168) are each translated via human annotators in 10 languages. The 10 languages are:
@@ -433,6 +436,9 @@ The same 250 problems from [GSM8K](https://arxiv.org/abs/2110.14168) are each tr
 - Swahili
 - Bengali
 - Telugu
+- Catalan
+- Basque
+- Galician
 
 GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning.
 
@@ -456,6 +462,9 @@ The same 250 problems from [GSM8K](https://arxiv.org/abs/2110.14168) are each tr
 - Swahili
 - Bengali
 - Telugu
+- Catalan
+- Basque
+- Galician
 
 ## Dataset Structure
 
@@ -515,6 +524,9 @@ The data fields are the same among `train` and `test` splits.
 |sw      |  8  |   250    |
 |bn      |  8  |   250    |
 |te      |  8  |   250    |
+|ca      |  8  |   250    |
+|eu      |  8  |   250    |
+|gl      |  8  |   250    |
 
 ## Dataset Creation