**Malayalam Pretraining/Tokenization dataset.**

Preprocessed and combined data from the following links,
	* [ai4bharat](https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/indiccorp/ml.tar.xz)
 	* [CulturaX](https://huggingface.co./datasets/uonlp/CulturaX/tree/main/ml)
 	* [Swathanthra Malayalam Computing](https://gitlab.com/smc/corpus/-/tree/master/text?ref_type=heads)


Commands used for preprocessing.

1. To remove all non Malayalam characters.
   
    sed -i 's/[^ം-ൿ.,;:@$%+&?!() ]//g' test.txt

2. To merge all the text files in a particular Directory(Sub-Directory)

    find SMC -type f -name '*.txt' -exec cat {} \; >> combined_SMC.txt

3. To remove all lines with characters less than 5.
   
    grep -P '[\x{0D00}-\x{0D7F}]' data/ml.txt | awk 'length($0) >= 5' > preprocessed/ml.txt

---
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 46611476142
    num_examples: 63110105
  - name: test
    num_bytes: 252742305
    num_examples: 267251
  download_size: 17881832073
  dataset_size: 46864218447
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---