Minuri/diverse_sinhala_dataset

Diverse Sinhala Dataset

A large-scale, cleaned, deduplicated, and domain-classified Sinhala text corpus compiled for continual pretraining of large language models. Constructed as part of a diversity-driven Sinhala language model adaptation study.

This repository serves as pipeline storage for the full corpus construction process, from merged cleaned sentences through to the final high-confidence domain-classified corpus.

Files

File	Rows	Columns	Description
exact_deduplicated_corpus.csv	12,653,718	sentence, source	Merged corpus after exact deduplication across all 4 sources
near_deduplicated_corpus.csv	12,381,586	sentence, source	After MinHash LSH near-duplicate removal
full_dataset_classified.csv	12,381,586	sentence, source, predicted_domain, confidence	After domain classification
high_confidence_7_7M.csv	7,706,748	sentence, source, predicted_domain, confidence	Final corpus — high-confidence domain classifications only

Pipeline

4 cleaned source datasets
        ↓
Exact deduplication (cross-source)
        ↓  exact_deduplicated_corpus.csv (12.65M)
MinHash LSH near-deduplication
        ↓  near_deduplicated_corpus.csv (12.38M)
XLM-RoBERTa domain classification (8 domains, 94% macro-F1)
        ↓  full_dataset_classified.csv (12.38M)
High-confidence filter
        ↓  high_confidence_7_7M.csv (7.70M) ← final usable corpus

Source Datasets

Source	Repo	Cleaned sentences
MADLAD-400	Minuri/madlad_cleaned_version	5,033,732
CulturaX	Minuri/culturax_cleaned_version	3,684,137
NSINA	Minuri/nsina_cleaned_version	3,546,626
Wikipedia	Minuri/wikipedia_cleaned_version	389,223

Domains (8 classes)

Classified using a fine-tuned XLM-RoBERTa model (94% macro-F1): News, Education, Government / Legal, Health, Religion / Culture, Sports, Entertainment, General / Other

Usage

import pandas as pd
from huggingface_hub import hf_hub_download

# Load the final high-confidence corpus
path = hf_hub_download(
    repo_id="Minuri/diverse_sinhala_dataset",
    filename="high_confidence_7_7M.csv",
    repo_type="dataset"
)
df = pd.read_csv(path)
print(df.head())

Downstream Datasets

This corpus was used to sample the following pretraining corpora:

Repo	Description
Minuri/sinhala-corpus-a-news-1m	News-only subset (1M sentences)
Minuri/sinhala-corpus-b-random-1m	Random subset (1M sentences)
Minuri/sinhala-corpus-c-diverse-1m	Diversity-optimised subset (1M sentences)
Minuri/sinhala-test-set-50k	Test set (50K sentences)
Minuri/sinhala-validation-set-10k	Validation set (10K sentences)
Minuri/sinhala-llama-3.2-1b-tokenizer	SentencePiece tokenizer trained on this corpus

Sources & Licenses

Source	License
allenai/MADLAD-400	ODC-BY
uonlp/CulturaX	mC4 + OSCAR licenses
wikimedia/wikipedia	CC BY-SA 3.0 + GFDL
sinhala-nlp/NSINA	CC BY-SA 4.0

This dataset is released under CC BY-SA 4.0 in compliance with the ShareAlike terms of Wikipedia and NSINA.