Update README.md

README.md

@@ -81,33 +81,44 @@ 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.
 
 
+## Data splits
+
+The dataset does not contain data splits. We consider the whole dataset as a testing benchmark.
+
+
 ## Attributes:
 
-- `id`: id of the example
-- `question`: problem description in English
-- `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
-- `result_unit`: the units of the result
-- `grade`: an estimate of the school grade in which the problem would be practiced
-- `source_question`: the source from which the example originates
+- **id**: id of the example
+- **question** problem description in English
+- **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
+- **result_unit**: the units of the result
+- **grade**: an estimate of the school grade in which the problem would be practiced
+- **source_question**: the source from which the example originates
 
-Attributes `id`, `question`, `chain`, and `result` are present in all datasets in the [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483).
+Attributes **id**, **question**, **chain**, and **result** are present in all datasets in the [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483).
 
 
-## Data splits
+## Related work
 
-The dataset does not contain data splits. We consider the whole dataset as a testing benchmark.
+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)
 
-## Licence
+Here are links to the original dataset:
 
-CC BY-NC 4.0, consistent with the original source dataset linked above.
+- [**original ASDiv dataset and repo**](https://github.com/chaochun/nlu-asdiv-dataset)
+- [**original ASDiv paper**](https://aclanthology.org/2020.acl-main.92)
 
 
-## Related work
+## Licence
+
+CC BY-NC 4.0, consistent with the original source dataset linked above.
 
-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.
 
 
 ## Cite
@@ -119,7 +130,7 @@ If you use this dataset in research, please cite the original [ASDiv paper](http
     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",