Update README.md

README.md

@@ -1,7 +1,6 @@
 ---
 language:
 - en
-- ar
 license: mit
 size_categories:
 - 1K<n<10K
@@ -109,17 +108,6 @@ This variant of the dataset is intended for training Chain-of-Thought reasoning
 This dataset presents in-context scenarios where models can outsource the computations in the reasoning chain to a calculator.
 
 
-## Attributes:
-
-- `id`: id of the example
-- `question`: problem description in English
-- `question_arabic`: problem description in Arabic
-- `chain`: series of simple operations (derived from `expression`) that lead to the solution
-- `result`: the solution for x as a number or fraction (string)
-- `result_float`: same as `result` but converted to a float
-- `equation`: an equation that needs to be solved for `x` to obtain the result. Usually in the form of "x = ..." but not always.
-- `expression`: arithmetic expression derived from `equation` that solves it for `x`
-
 
 ## Data splits
 
@@ -137,15 +125,40 @@ datasets.load_dataset("MU-NLPC/calc-mawps")
 ```
 
 
+## Attributes:
 
-## Licence
+- **id**: id of the example
+- **question**: problem description in English
+- **question_arabic**: problem description in Arabic
+- **chain**: series of simple operations (derived from **expression**) that lead to the solution
+- **result**: the solution for x as a number or fraction (string)
+- **result_float**: same as `result` but converted to a float
+- **equation**: an equation that needs to be solved for `x` to obtain the result. Usually in the form of "x = ..." but not always.
+- **expression**: arithmetic expression derived from `equation` that solves it for `x`
 
-MIT, consistent with the original source dataset linked above.
+Attributes **id**, **question**, **chain**, and **result** are present in all datasets in [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483).
 
 
 ## Related work
 
-If you are interested in related datasets (or models), check out the MU-NLPC organization here on HuggingFace. We have released a few other datasets in a compatible format, and several models that use an external calculator during inference.
+This dataset was created as a part of a larger effort in training models capable of using a calculator during inference, which we call Calcformers.
+
+- [**Calc-X collection**](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483) - datasets for training Calcformers
+- [**Calcformers collection**](https://huggingface.co/collections/MU-NLPC/calcformers-65367392badc497807b3caf5) - calculator-using models we trained and published on HF
+- [**Calc-X and Calcformers paper**](https://arxiv.org/abs/2305.15017)
+- [**Calc-X and Calcformers repo**](https://github.com/prompteus/calc-x)
+
+Here are links to the original dataset:
+
+- [**original MAWPS dataset**](http://lang.ee.washington.edu/MAWPS)
+- [**MAWPS dataset variant in Arabic**](https://huggingface.co/datasets/omarxadel/MaWPS-ar)
+- [**original MAWPS paper**](https://aclanthology.org/N16-1136/)
+- [**original MAWPS repo**](https://github.com/sroy9/mawps)
+
+
+## Licence
+
+MIT, consistent with the original source dataset linked above.
 
 
 ## Cite
@@ -157,7 +170,7 @@ If you use this version of the dataset in research, please cite the original [MA
     title = "Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems",
     author = "Marek Kadlčík and Michal Štefánik and Ondřej Sotolář and Vlastimil Martinek",
     booktitle = "Proceedings of the The 2023 Conference on Empirical Methods in Natural Language Processing: Main track",
-    month = december,
+    month = dec,
     year = "2023",
     address = "Singapore, Singapore",
     publisher = "Association for Computational Linguistics",