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Updated descriptions

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  1. constants.py +8 -8
constants.py CHANGED
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- ABOUT_INFO = "BIGOS (Benchmark Intended Grouping of Open Speech) represents the most extensive evaluation of Polish ASR (Automatic Speech Recognition) systems to date.<br> \
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- \This benchmark is a collaborative effort by the [AMU-CAI team](https://huggingface.co/amu-cai), aimed at providing a thorough and comprehensive assessment of various Polish ASR systems."
 
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  BIGOS_INFO = "BIGOS (Benchmark Intended Grouping of Open Speech) is the collection of freely available speech datasets curated by the [AMU-CAI team](https://huggingface.co/amu-cai). \
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- More details can be found [here](https://huggingface.co/datasets/amu-cai/pl-asr-bigos-v2)"
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  PELCRA_INFO = "PELCRA for BIGOS is the subset of speech corpora created by the [PELCRA group](http://pelcra.pl/new/), curated for the BIGOS benchmark by the [AMU-CAI team](https://huggingface.co/amu-cai). \
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- More details can be found [here](https://huggingface.co/datasets/pelcra/pl-asr-pelcra-for-bigos)"
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- ANALYSIS_INFO = "Under construction"
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- INSPECTION_INFO = "Under construction"
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- COMPARISON_INFO = "Under construction"
 
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+ ABOUT_INFO = "Polish ASR leaderboard by [AMU-CAI team](https://huggingface.co/amu-cai) aims to provide comprehensive overview of performance of ASR/STT systems for Polish. <br>\
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+ The leaderboard currently supports [BIGOS V2](https://huggingface.co/datasets/amu-cai/pl-asr-bigos-v2) and [PELCRA for BIGOS](https://huggingface.co/datasets/pelcra/pl-asr-pelcra-for-bigos) datasets.<br>\
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+ To learn more please read blog post [here](https://huggingface.co/blog/michaljunczyk/introducing-polish-asr-leaderboard)."
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  BIGOS_INFO = "BIGOS (Benchmark Intended Grouping of Open Speech) is the collection of freely available speech datasets curated by the [AMU-CAI team](https://huggingface.co/amu-cai). \
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+ Learn more [here](https://huggingface.co/datasets/amu-cai/pl-asr-bigos-v2)"
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  PELCRA_INFO = "PELCRA for BIGOS is the subset of speech corpora created by the [PELCRA group](http://pelcra.pl/new/), curated for the BIGOS benchmark by the [AMU-CAI team](https://huggingface.co/amu-cai). \
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+ Learn more [here](https://huggingface.co/datasets/pelcra/pl-asr-pelcra-for-bigos)"
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+ ANALYSIS_INFO = "Here we examine ASR accuracy depending on the system type, model size, audio duration, speaking rate and speaker charactertics (age and gender)"
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+ INSPECTION_INFO = "Here you can inspect the performance of specific ASR systems on the specific audio samples"
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+ COMPARISON_INFO = "Here you can compare the performance of different ASR systems on the specific datasets using metrics and visualizations of your choice."