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Datasets:
Humair332
/
Vast-Urdu

Tasks:
Translation
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Urdu
English
Chinese
Size:
10M - 100M
Tags:
nmt
parallel-corpus
multilingual
urdu
large-scale
bitext
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
Community
1
Humair332 ReySajju742 commited on
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Duplicate from ReySajju742/Vast-Urdu

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Co-authored-by: Muhammad Sajjad Rasool <ReySajju742@users.noreply.huggingface.co>

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  1. .gitattributes +59 -0
  2. README.md +49 -0
  3. am-ur.parquet +3 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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README.md ADDED
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+ ---
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+ license: mit
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+ task_categories:
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+ - translation
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+ - token-classification
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+ language:
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+ - ur
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+ - en
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+ - zh
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+ - ar
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+ - hy
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+ - ak
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+ tags:
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+ - nmt
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+ - parallel-corpus
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+ - multilingual
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+ - urdu
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+ - large-scale
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+ - bitext
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+ - synthetic-data
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+ pretty_name: Vast Urdu Parallel Corpus
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+ ---
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+
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+ # Vast Urdu Parallel Corpus
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+
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+ ## Dataset Description
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+ **Vast-Urdu** is a large-scale collection of parallel text corpora specifically filtered to support Urdu (UR) language research. This dataset was extracted from the `liboaccn/nmt-parallel-corpus` to provide a dedicated resource for Neural Machine Translation (NMT), cross-lingual understanding, and token-classification tasks involving Urdu.
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+
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+ ### Source Data
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+ The data is sourced from a massive web-scale crawl, containing sentence-aligned pairs between Urdu and several other languages including:
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+ * **English (en)**
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+ * **Chinese (zh)**
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+ * **Arabic (ar)**
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+ * **Armenian (hy)**
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+ * **Akan (ak)**
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+
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+ ## Dataset Structure
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+ The files are provided in `.parquet` format for efficient storage and fast loading. Each file represents a language pair (e.g., `en-ur.parquet`), containing:
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+ - **Source text**: The text in the primary language.
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+ - **Target text**: The corresponding translation in Urdu (or vice-versa).
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+
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+ ## Usage
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+ You can load this dataset directly using the Hugging Face `datasets` library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("ReySajju742/Vast-Urdu", data_files="en-ur.parquet")
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+ print(dataset['train'][0])
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+ version https://git-lfs.github.com/spec/v1
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+ size 25534609