Update README.md
Browse filesWe present **Pralekha**, a document-level alignment benchmark designed to evaluate various long-context parallel data mining strategies, comprising over 2 million documents, with a 1:2 ratio of unaligned to aligned document pairs across 11 Indic languages and English.
Each instance in the dataset is represented as a tuple (*n_id*, *doc_id*, *lang*, *text*).
In this structure:
- *n_id* serves as a unique identifier for each parallel document pair,
- *doc_id* uniquely identifies individual documents,
- *lang* indicates the document’s language using its ISO-3 code, and
- *text* contains the corresponding textual content in that language.
README.md
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---
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license: cc-by-4.0
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dataset_info:
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features:
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- name: n_id
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dtype: string
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- name: doc_id
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dtype: string
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- name: lang
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dtype: string
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- name: text
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dtype: string
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splits:
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- name: aligned
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num_bytes: 10276115509
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num_examples: 1566404
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- name: unaligned
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num_bytes: 4047766580
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num_examples: 634142
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download_size: 5548830328
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dataset_size: 14323882089
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configs:
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- config_name: default
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data_files:
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- split: aligned
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path: data/aligned-*
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- split: unaligned
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path: data/unaligned-*
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---
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license: cc-by-4.0
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dataset_info:
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features:
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- name: n_id
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dtype: string
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- name: doc_id
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dtype: string
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- name: lang
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dtype: string
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- name: text
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dtype: string
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splits:
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- name: aligned
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num_bytes: 10276115509
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num_examples: 1566404
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- name: unaligned
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num_bytes: 4047766580
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num_examples: 634142
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download_size: 5548830328
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dataset_size: 14323882089
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configs:
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- config_name: default
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data_files:
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- split: aligned
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path: data/aligned-*
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- split: unaligned
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path: data/unaligned-*
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language:
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- bn
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- en
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- gu
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- hi
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- kn
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- ml
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- mr
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- or
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- pa
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- ta
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- te
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- ur
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tags:
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- data-mining
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- parallel-corpus
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- document-alignment
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pretty_name: Pralekha
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size_categories:
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- 1M<n<10M
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---
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