Persian synthetic datasets which are generated by the SoTA LLMs.
ParsBench
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AI & ML interests
Benchmarking LLMs on the Persian language tasks.
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ParsBench is a Pythonic framework that provides toolkits for benchmarking LLMs based on the Persian language tasks.
In this HuggingFace organization, we share the prepared datasets, evaluation results, and fine-tuned models using the ParsBench toolkit.
Learn more about this framework at:
Collections
2
ParsBench task datasets with instructions in the Alpaca-style.
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ParsBench/parsinlu-machine-translation-en-fa-alpaca-style
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ParsBench/parsinlu-machine-translation-fa-en-alpaca-style
Viewer • Updated • 1.62M • 41 • 3 -
ParsBench/parsinlu-entailment-alpaca-style
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ParsBench/farstail-entailment-alpaca-style
Viewer • Updated • 7.27k • 41
spaces
1
models
None public yet
datasets
18
ParsBench/Persian-NoRobots
Updated
ParsBench/PersianSyntheticEmotions
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8.75k
ParsBench/PersianSyntheticQA
Updated
ParsBench/results
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Updated
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16
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9
ParsBench/requests
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16
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12
ParsBench/task-matches
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129k
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12
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1
ParsBench/parsinlu-sentiment-analysis-alpaca-style
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Updated
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1.89k
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45
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1
ParsBench/persian-math-alpaca-style
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Updated
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177
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40
ParsBench/pnsummary-alpaca-style
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Updated
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82k
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48
ParsBench/persian-ner-alpaca-style
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Updated
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202
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44