Datasets:
Add comprehensive README with benchmark findings
Browse files
README.md
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## Overview
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EthioTelecomBench is a comprehensive benchmark for evaluating Automatic Speech Recognition (ASR) systems on Amharic speech, with a focus on telecom customer service conversations. This dataset contains evaluation results from **12 models** across **7 evaluation splits**.
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## Text Normalization
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from datasets import load_dataset
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# Load WER scores
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wer_data = load_dataset("SAARAI/
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# Load CER scores
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cer_data = load_dataset("SAARAI/
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# Load Gender Gap analysis
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gender_data = load_dataset("SAARAI/
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```
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## Citation
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If you use this benchmark, please cite:
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```bibtex
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@misc{ethiotelebench2024,
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title={EthioTelecomBench: A Benchmark for Amharic ASR in Telecom Domain},
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author={SAARAI},
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year={2024},
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publisher={Hugging Face},
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url={https://huggingface.co/datasets/SAARAI/EthioTelecomBench}
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}
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```
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## License
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This benchmark is released under the Apache 2.0 License.
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## Links
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- [Interactive Error Visualization](https://ethio-asr-error-viz.vercel.app/)
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- [Source Repository](https://github.com/IsraelAbebe/Ethio-ASR)
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---
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language:
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- am
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license: apache-2.0
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task_categories:
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- automatic-speech-recognition
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tags:
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- asr
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- amharic
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- ethiopian
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- telecom
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- benchmark
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- wer
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- cer
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- gender-fairness
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- gsma
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pretty_name: GSMA EthioTelecomBench
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size_categories:
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- n<1K
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---
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# GSMA EthioTelecomBench: Amharic ASR Benchmark for Telecom Domain
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## Overview
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GSMA EthioTelecomBench is a comprehensive benchmark for evaluating Automatic Speech Recognition (ASR) systems on Amharic speech, with a focus on telecom customer service conversations. This dataset contains evaluation results from **12 models** across **7 evaluation splits**.
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## Text Normalization
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from datasets import load_dataset
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# Load WER scores
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wer_data = load_dataset("SAARAI/GSMAEthioTelecomBench", data_files="data/WER.csv", split="train")
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# Load CER scores
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cer_data = load_dataset("SAARAI/GSMAEthioTelecomBench", data_files="data/CER.csv", split="train")
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# Load Gender Gap analysis
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gender_data = load_dataset("SAARAI/GSMAEthioTelecomBench", data_files="data/Gender_GAP.csv", split="train")
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```
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