Persian synthetic datasets which are generated by the SoTA LLMs.
ParsBench
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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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spaces
1
models
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datasets
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ParsBench/Persian-MuSR
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756
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ParsBench/Persian-NoRobots
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10k
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15
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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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124
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ParsBench/results
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16
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7
ParsBench/requests
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16
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ParsBench/task-matches
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129k
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6
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ParsBench/parsinlu-sentiment-analysis-alpaca-style
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1.89k
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35
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ParsBench/persian-math-alpaca-style
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177
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ParsBench/pnsummary-alpaca-style
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36