Persian synthetic datasets which are generated by the SoTA LLMs.
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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
3
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
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ParsBench/parsinlu-entailment-alpaca-style
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ParsBench/farstail-entailment-alpaca-style
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models
None public yet
datasets
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ParsBench/Persian-MuSR
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756
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124
ParsBench/Persian-NoRobots
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10k
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77
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ParsBench/PersianSyntheticEmotions
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8.75k
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ParsBench/PersianSyntheticQA
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100k
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898
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4
ParsBench/results
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16
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87
ParsBench/requests
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16
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93
ParsBench/task-matches
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129k
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133
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1
ParsBench/parsinlu-sentiment-analysis-alpaca-style
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1.89k
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51
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ParsBench/persian-math-alpaca-style
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177
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52
ParsBench/pnsummary-alpaca-style
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82k
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64