| --- |
| license: cc-by-4.0 |
| language: |
| - rn |
| - ndc |
| - nd |
| pretty_name: Afrivoice V2 |
| task_categories: |
| - automatic-speech-recognition |
| tags: |
| - DigitalUmuganda |
| - DU |
| - Kirundi |
| - Ndau |
| - Ndebele |
| - Oshiwambo |
| - rn |
| - ndc |
| - nd |
| - asr |
| - stt |
| - voice |
| - speech |
| size_categories: |
| - 100K<n<1M |
| annotations_creators: |
| - crowdsourced |
| language_creators: |
| - crowdsourced |
| --- |
| # Dataset Card for the image text and voice dataset |
|
|
|
|
| ## Dataset Description |
|
|
| This is an image prompt ASR dataset 4 African languages; Kirundi, Ndau, Ndebele, and Oshiwambo. Each language was collected on at most 2 domains. |
|
|
| | Language | Domain | Total hours | Total transcribed hours | Total clips | Size (GB) | |
| |----------|--------|------------:|------------------------:|------------:|----------:| |
| | Kirundi | Agriculture | 125.42 | 125.42 | 24,926 | 7.2241 | |
| | | Education | 255.49 | 255.49 | 48,229 | 16.4548 | |
| | | **Sub Total** | **380.92** | **380.92** | **73,155** | **23.6789** | |
| | Ndau | Education | 60.28 | 60.28 | 11,670 | 4.0830 | |
| | | Health | 266.30 | 266.30 | 51,719 | 12.9714 | |
| | | **Sub Total** | **326.59** | **326.59** | **63,389** | **17.0544** | |
| | Ndebele | Education | 89.82 | 89.82 | 16,796 | 5.8412 | |
| | | Health | 353.15 | 353.15 | 66,456 | 16.5682 | |
| | | **Sub Total** | **442.96** | **442.96** | **83,252** | **22.4094** | |
| | Oshiwambo | Agriculture | 143.14 | 143.14 | 24,827 | 8.4778 | |
| | | Finance | 99.14 | 99.14 | 17,300 | 5.8693 | |
| | | **Sub Total** | **242.29** | **242.29** | **42,127** | **14.3471** | |
| | **Total** | | **1,392.76** | **1,392.76** | **261,923** | **77.4898** | |
|
|
| ## How to use |
|
|
| The `huggingface_hub` library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded in one call to your local drive by using the `snapshow_download` function. |
|
|
| ### For full dataset |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="DigitalUmuganda/Afrivoice_V2", |
| repo_type='dataset', |
| local_dir='<destination_dir>' |
| ) |
| |
| ``` |
|
|
| ### Download a particular language |
|
|
|
|
| ```python |
| |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="DigitalUmuganda/Afrivoice_V2", |
| repo_type="dataset", |
| local_dir="<destination_dir>", |
| allow_patterns="Kirundi/*" |
| ) |
| |
| ``` |
|
|
| The languages options are: |
| - Kirundi |
| - Ndau |
| - Ndebele |
| - Oshiwambo |
|
|
| ## Dataset Structure |
|
|
| ### Data Instance |
|
|
|
|
|
|
| ```python |
| { |
| "voice_creator_id":"KGDIxAHRYAOvBRkfZGgi5708Hz82", |
| "image_filepath":"6cbf90cf3951_0.jpg", |
| "image_category":"agriculture", |
| "image_sub_category":"Food banks & food crops and farmers", |
| "category":"agriculture", |
| "audio_filepath":"UKfpM5rleuyc0T85HWOn.webm", |
| "transcription":"Abagabo batatu bahagaze mu murima, bikoreye ku bitugu, udukoresho babikamwo ivyo basoromye. Inyuma y'abo hakaba hari ibiti bitari bike bihatewe.", |
| "normalized_transcription":"abagabo batatu bahagaze mu murima bikoreye ku bitugu udukoresho babikamwo ivyo basoromye inyuma yabo hakaba hari ibiti bitari bike bihatewe", |
| "age_group":"18-24", |
| "gender":"Male", |
| "project_name":"Digital Umuganda", |
| "locale":null, |
| "year":2026, |
| "duration":15.48, |
| "location":null, |
| "uid":"KGDIxAHRYAOvBRkfZGgi5708Hz82", |
| "key":"UKfpM5rleuyc0T85HWOn", |
| "dir_path":"agriculture_kirundi_dev", |
| "shard_id":0, |
| "image_shard_id":0 |
| } |
| |
| |
| |
| |
| ``` |
|
|
| ### Data Fields |
|
|
| `voice_creator_id` (`string`): An id for which client (voice) made the recording |
|
|
| `transcription_creator_id` (`string`): An id for which client (text) made the transcription |
|
|
| `transcription` (`string`): Original audio transcription with punctuation and capitalization |
|
|
| `normalized_transcription` (`string`): Original audio transcription without punctuation and capitalization |
|
|
| `image_filepath` (`string`): file path of the image file inside the dataset |
|
|
| `audio_filepath` (`string`): file path of the audio file inside the dataset |
|
|
| `dir_path` (`string`): main directory path of the record |
|
|
| `shard_id` (`string`): chunk identification number where the audio record belong |
|
|
| `image_shard_id` (`string`): chunk identification number where the image record belong |
|
|
| `age_group` (`string`): age range of the audio recorder |
|
|
| `gender` (`string`): The gender of the speaker |
|
|
| `location` (`string`): geographical location of the audio recorder |
|
|
| `duration` (`int`): length in seconds of the audio file |
|
|
| `image_category` (`string`): domain of the image (eg: health, agriculture, finance), used as prompt during audio creation. |
|
|
| `image_sub_category` (`string`): Sub-domain label of the image (e.g., within agriculture: “seed farming” or “forestry”), used to guide audio creation. |
|
|
| `category` (`string`): category of the record |
|
|
| `project` (`string`): project name |
|
|
| `locale` (`string`): The locale of the speaker |
|
|
| `year` (`int`): Year of recording |
|
|
| `project_name` (`string`): project name |
|
|
| `location` (`string`): location of the project |
|
|
| `key` (`string`): key identifier of the data point |
|
|
| # Licensing Information |
| All datasets are licensed under the [Creative Commons license (CC-BY-4)](https://creativecommons.org/licenses/). |
