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README.md
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---
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dataset_info:
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features:
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- name: question
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dtype: string
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- name: lang
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dtype: string
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- name: audio
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dtype: audio
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splits:
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- name: train
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num_bytes: 218348705
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num_examples: 980
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download_size: 212931635
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dataset_size: 218348705
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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pretty_name: Indic AudioLLM Evals
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This evaluation set contains ~100 questions in both text and audio format in Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, and Telugu. We use this dataset internally at Sarvam to evaluate the performance of our audio models. We open-source this data to enable the research community to replicate the results mentioned in our [Shuka blog](https://www.sarvam.ai/blogs/shuka-v1).
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---
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dataset_info:
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features:
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- name: question
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dtype: string
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+
- name: lang
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dtype: string
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- name: audio
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dtype: audio
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splits:
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- name: train
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num_bytes: 218348705
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+
num_examples: 980
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download_size: 212931635
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dataset_size: 218348705
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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pretty_name: Indic AudioLLM Evals
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license: apache-2.0
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---
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This evaluation set contains ~100 questions in both text and audio format in Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, and Telugu. We use this dataset internally at Sarvam to evaluate the performance of our audio models. We open-source this data to enable the research community to replicate the results mentioned in our [Shuka blog](https://www.sarvam.ai/blogs/shuka-v1).
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