Update README.md

README.md

@@ -43,6 +43,10 @@ dataset_info:
 language:
 - en
 viewer: true
+task_categories:
+- text-generation
+size_categories:
+- 1K<n<10K
 ---
 
 # WikiSpell
@@ -50,19 +54,27 @@ viewer: true
 ## Description
 This dataset is a **custom implementation** of the WikiSpell dataset introduced in [Character-Aware Models Improve Visual Text Rendering](https://arxiv.org/pdf/2212.10562.pdf) by Liu et al. (2022).
 
-Similarly to the original WikiSpell dataset, the training set is composed of 5000 words taken uniformly from the 50% least common Wiktionary words, and 5000 words sampled according to their frequencies taken from the 50% most common Wiktionary words.
+Similarly to the original WikiSpell dataset, the training set is composed of 5000 words taken uniformly from the 50% least common Wiktionary words (taken from [this Wiktionary extraction](https://kaikki.org/dictionary/rawdata.html)), and 5000 words sampled according to their frequencies taken from the 50% most common Wiktionary words.
+
+The validation and test are splitted in 5 sets, sampled depending on their frequency in the corpus:
+- 1% most common words
+- 1 - 10% most common words
+- 10 - 20% most common words
+- 20 - 30% most common words
+- 50% least common words
+
+Contrary to the original WikiSpell dataset, we compute the frequency of the words using the first 100k sentences from OpenWebText ([Skylion007/openwebtext](https://huggingface.co/datasets/Skylion007/openwebtext)) instead of mC4.
 
-Contrary to the original Wiktionary, we compute the frequency of the words using the first 100k sentences from OpenWebText ([Skylion007/openwebtext](https://huggingface.co/datasets/Skylion007/openwebtext)) instead of mC4.
 
 ## Usage
-This dataset is used for testing spelling in Large Language Models. To do so, the labels should be computed using the following:
+This dataset is used for testing spelling in Large Language Models. To do so, the labels should be computed like in the following snippet:
 
 ```python
 sample = ds["train"][0]
 label = " ".join(sample["text"])
 ```
 
-**They are not included in the dataset.**
+**The labels are not included in the dataset files directly.**
 
 ## Citation