Update README.md

README.md

@@ -98,22 +98,28 @@ This dataset presents in-context scenarios where models can outsource the comput
 First, we translated the questions into English using Google Translate. Next, we parsed the equations and the results. We linearized
 the equations into a sequence of elementary steps and evaluated them using a sympy-based calculator. We numerically compare the output
 with the result in the data and remove all examples where they do not match (less than 3% loss in each split). Finally, we save the
-chain of steps the HTML-like language in the `chain` column. We keep the original columns in the dataset for convenience.
+chain of steps in the HTML-like language in the `chain` column. We keep the original columns in the dataset for convenience. We also perform
+in-dataset and cross-dataset data-leak detection within [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483).
+Specifically for Ape210k, we removed parts of the validation and test split, with around 1700 remaining in each.
 
-You can read more information about this process in our [technical report](https://arxiv.org/abs/2305.15017).
+You can read more information about this process in our [Calc-X paper](https://arxiv.org/abs/2305.15017).
 
 
 ## Content and Data splits
 
-In the `original-splits` config, the data splits correspond to the original Ape210K dataset. See [ape210k dataset github](https://github.com/Chenny0808/ape210k) and [the paper](https://arxiv.org/abs/2009.11506) for more info.
+The default config contains filtered splits with data leaks removed.
 You can load it using:
 
 ```python3
-datasets.load_dataset("MU-NLPC/calc-ape210k", "original-splits")
+datasets.load_dataset("MU-NLPC/calc-ape210k")
 ```
 
-The default config contains filtered splits that remove in-dataset and cross-dataset data leaks within [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483). 
-In the case of Ape210k, we removed parts of the validation and test split, with around 1700 remaining in each. Refer to our paper for more details.
+In the `original-splits` config, the data splits are unfiltered and correspond to the original Ape210K dataset. See [ape210k dataset github](https://github.com/Chenny0808/ape210k) and [the paper](https://arxiv.org/abs/2009.11506) for more info.
+You can load it using:
+
+```python3
+datasets.load_dataset("MU-NLPC/calc-ape210k", "original-splits")
+```
 
 
 Columns: