icfoss/English_Malayalam_Translation_Human_annotated
English-Malayalam Government Parallel Corpus Synth This dataset contains synthetic machine-translated English-Malayalam sentence pairs aligned from government and administrative text. Machine Translation Notice All parallel text in this dataset should be treated as synthetic machine-translated data. It is intended for research, corpus filtering, model adaptation, and experimentation. It should not be treated as human-verified gold translation without additional… See the full description on the dataset page: https://huggingface.co/datasets/icfoss/English_Malayalam_Translation_Human_annotated.
English-Malayalam Government Parallel Corpus Synth
This dataset contains synthetic machine-translated English-Malayalam sentence pairs aligned from government and administrative text.
Machine Translation Notice
All parallel text in this dataset should be treated as synthetic machine-translated data. It is intended for research, corpus filtering, model adaptation, and experimentation. It should not be treated as human-verified gold translation without additional review.
Dataset Details
- Languages: English (
en) and Malayalam (ml) - Rows: 58,174 aligned pairs
- Format: CSV
- Source file:
translation.zip/translation.csv - Text domain: Government and administrative prose
- Data type: Synthetic / machine-translated parallel text
Schema
Intended Uses
- English-Malayalam machine translation
- Domain adaptation for Malayalam language models
- Parallel corpus filtering and alignment research
- Government-domain terminology extraction
Data Processing
The original CSV was normalized by:
- retaining only the English and Malayalam text columns
- dropping empty unnamed columns
- retaining rows where both sides are non-empty
- trimming leading and trailing whitespace
Limitations
The corpus is synthetic machine-translated text and may contain noisy alignments, administrative boilerplate, OCR artifacts, translation artifacts, and domain-specific terminology. Licensing was not inferred automatically; users should verify reuse permissions.
