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---
language:
- ml
---
**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-*
---