Datasets:
Formats:
parquet
Languages:
English
Size:
1M - 10M
ArXiv:
Tags:
english
sentence-similarity
sentence-pair-classification
semantic-retrieval
re-ranking
information-retrieval
License:
Update README.md
Browse files
README.md
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@@ -318,10 +318,10 @@ Total **~1.12M** pairs: **~1.05M train**, **8.4k validation**, **62k test**. See
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from datasets import load_dataset
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# Unified corpus
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ds = load_dataset("
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# A single source, e.g., PAWS
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paws = load_dataset("
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# Columns: sentence1, sentence2, label (+ idx, source_idx in 'all')
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```
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@@ -402,7 +402,7 @@ If you use this dataset, please cite the Hugging Face entry and the original ups
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@misc{langcache_sentencepairs_v1_2025,
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title = {langcache-sentencepairs-v1},
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author = {Baral, Aditeya and Redis},
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howpublished = {\url{https://huggingface.co/datasets/
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year = {2025},
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note = {Version 1}
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}
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from datasets import load_dataset
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# Unified corpus
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ds = load_dataset("redis/langcache-sentencepairs-v1", "all")
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# A single source, e.g., PAWS
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paws = load_dataset("redis/langcache-sentencepairs-v1", "paws")
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# Columns: sentence1, sentence2, label (+ idx, source_idx in 'all')
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```
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@misc{langcache_sentencepairs_v1_2025,
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title = {langcache-sentencepairs-v1},
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author = {Baral, Aditeya and Redis},
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howpublished = {\url{https://huggingface.co/datasets/redis/langcache-sentencepairs-v1}},
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year = {2025},
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note = {Version 1}
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}
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