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Hugging Face and Liva AI Add Egyptian and Nigerian English to Open ASR Leaderboard

1 reports1 sources11/6/2026 updated

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Hugging Face, in collaboration with Liva AI, has added private conversational speech datasets for Egyptian English and Nigerian English to the Open ASR Leaderboard. Hugging Face said the datasets are intended for evaluating speech recognition models and include punctuation and disfluency features. According to Hugging Face, the addition aims to improve accent diversity and representativeness in evaluation. By keeping the data private, the initiative also seeks to reduce leaderboard gaming and strengthen the credibility and reliability of overall model assessment.

Written with AI from the reporting · updated 11/6/2026

Latest developmentNov 6, 08:00
Egyptian and Nigerian English Join the Open ASR Leaderboard
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  1. 1Unclassified fact stationNov 6, 00:00recorded Nov 6, 18:26single sourcerevised

    埃及和尼日利亚英语加入 Open ASR 排行榜

    Read original source ↗ Hugging Face BlogReplay this moment in the explorer
    Evidence & revisions · 1 source records
    Subject：
    Hugging Face Open ASR Leaderboard
    Action：
    与 Liva AI 合作新增埃及和尼日利亚英语的私有对话式语音数据集
    Object：
    Open ASR 排行榜的评估维度与数据覆盖范围
    Occurred (fact side)：
    Nov 6, 00:00
    Hugging Face Blog ↗Report pageRevision 2 · currently revised
    Published (valid side)：
    Nov 6, 08:00
    First seen (known side)：
    Nov 6, 18:26
    Fact stationSingle source · one-sided claimRevised

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Nov 6
  1. Hugging Face BlogFirst-party sourceRelated fact: single sourceSource report revised
    Egyptian and Nigerian English Join the Open ASR Leaderboard

    Report first recorded Nov 6, 18:26

    Hugging Face has announced a collaboration with Liva AI to add private Egyptian and Nigerian English conversational datasets to the Open ASR Leaderboard. This update aims to improve representation in ASR evaluations and enhance trust by introducing new private data to minimize benchmaxxing, helping the community push ASR performance for a more diverse global audience.

    Read original source ↗

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