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Datasets:
QCRI
/
SpokenNativQA

Tasks:
Question Answering
Modalities:
Audio
Text
Formats:
json
Languages:
Arabic
English
Size:
10K - 100K
ArXiv:
Tags:
question-answering
cultural-aligned
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
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README.md CHANGED
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- ---
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- license: cc-by-nc-sa-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs
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+
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+ This repository contains the **SpokenNativQA** dataset accompanying the paper:
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+
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+ > **SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs**
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+
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+
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+ SpokenNativQA provides **multilingual test sets of everyday spoken questions** to evaluate large language models (LLMs) and speech processing systems. The dataset contains **Arabic** and **English** queries, each transcribed by multiple automatic speech recognition (ASR) systems.
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+
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+ ---
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+ **<span style="color:red">Note:</span>** <span style="color:blue">As a part of this repository we only shared the wav files that are only used for evaluation. For the entire dataset that we reported in the paper might be accessible after contacting with the authors.</span>
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+
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+
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+ ---
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+
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+ ## Overview
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+
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+ The dataset is organized into two main directories:
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+
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+ - **`arabic_qa/`**
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+ - `spokenqa_arabic_qa_test_azure_asr.jsonl`
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+ - `spokenqa_arabic_qa_test_fanar_asr.jsonl`
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+ - `spokenqa_arabic_qa_test_google_asr.jsonl`
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+ - `spokenqa_arabic_qa_test_whisper_asr.jsonl`
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+ - `spokenqa_arabic_qa_test.jsonl`
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+ - `speech/` -- wav files
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+
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+ - **`english_qa/`**
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+ - `spokenqa_english_qa_test_azure_asr.jsonl`
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+ - `spokenqa_english_qa_test_fanar_asr.jsonl`
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+ - `spokenqa_english_qa_test_google_asr.jsonl`
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+ - `spokenqa_english_qa_test.jsonl`
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+ - `speech/` -- wav files
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+
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+
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+ A `licenses_by-nc-sa_4_0_legalcode.txt` file is also provided, detailing the **CC BY-NC-SA 4.0** license.
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+
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+ ---
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+
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+ ## Dataset Structure and Format
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+
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+ Each `.jsonl` file contains a list of JSON objects, one per line. The typical structure includes:
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+
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+ - **`lang`**: The language of the spoken query (e.g., "arabic", "english").
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+ - **`data_id`**: A unique identifier for the data instance.
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+ - **`file_name`**: The name of the audio file.
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+ - **`file_path`**: The relative path of the audio file.
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+ - **`question`**: The intended question in text form (reference).
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+ - **`answer`**: The expected answer or reference answer for the question.
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+ - **`location`**: The geographical location where the query was recorded.
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+ - **`asr_text`**: The text output from the ASR system.
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+
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+ ### Example of a JSON Entry
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+ ```json
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+ {
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+ "lang": "arabic",
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+ "data_id": "3cdfcfd1acb722617ec8bbe6808114bc",
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+ "file_name": "3cdfcfd1acb722617ec8bbe6808114bc_1724222501325.wav",
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+ "file_path": "speech/3cdfcfd1acb722617ec8bbe6808114bc_1724222501325.wav",
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+ "question": "من هو الشاعر الذي سجن؟",
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+ "answer": "وهي القصائد التي كتبها أبو فراس الحمداني فترة أسره عند الروم في سجن خرشنة، وعرفت باسم الروميات نسبة لمكان أسره، وقد تميزت هذا القصائد بجزالتها وقوتها ورصانتها، وصدق عاطفتها.",
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+ "location": "qatar",
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+ "asr_text": "من هو الشاعر الذي زعل؟"
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+ }
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+ ```
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+
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+ # License
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+ This dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
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+
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+
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+ # Citation
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+ ```
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+ @inproceedings{alam2025spokennativqa,
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+ title = {SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs},
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+ author = {Firoj Alam and Md Arid Hasan and Shammur Absar Chowdhury},
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+ booktitle = {Proceedings of the 26th Interspeech Conference (Interspeech 2025)},
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+ year = {2025},
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+ address = {Rotterdam, The Netherlands},
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+ month = aug,
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+ organization = {ISCA},
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+ }
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+ ```
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