Update README.md

README.md

@@ -16,7 +16,50 @@ dataset_info:
     num_examples: 1319
   download_size: 4400374
   dataset_size: 8858309
+license: mit
+task_categories:
+- text-generation
+- question-answering
+language:
+- en
+size_categories:
+- 1K<n<10K
 ---
 # Dataset Card for "Calc-gsm8k"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Summary
+
+This dataset is an instance of gsm8k dataset, converted to a simple html-like language that can be easily parsed (e.g. by BeautifulSoup). The data contains 3 types of tags:
+- gadget: A tag whose content is intended to be evaluated by calling an external tool (sympy-based calculator in this case)
+- output: An output of the external tool
+- result: The final answer of the mathematical problem (a number)
+
+
+## Supported Tasks
+
+The dataset is intended for training Chain-of-Thought reasoning **models able to use external tools** to enhance the factuality of their responses.
+This dataset presents in-context scenarios where models can out-source the computations in the reasoning chain to a calculator.
+
+
+## Construction Process
+
+The answers in the original dataset was in in a structured but non-standard format. So, the answers were parsed, all arithmetical expressions
+were evaluated using a sympy-based calculator, the outputs were checked to be consistent with the intermediate results and finally exported
+into a simple html-like language that BeautifulSoup can parse.
+
+
+## Content and Data splits
+
+Content and splits correspond to the original gsm8k dataset.
+See [gsm8k HF dataset](https://huggingface.co/datasets/gsm8k) and [official repository](https://github.com/openai/grade-school-math) for more info.
+
+
+## Licence
+
+MIT, consistently with the original dataset.
+
+
+## Cite
+
+If you use this dataset in research, please cite the [original creators](https://arxiv.org/abs/2110.14168).