Duplicate from mutisya/thiomi_5k_v1

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README.md

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+---
+pretty_name: thiomi_5k_v1
+language:
+- eng
+- kik
+- kam
+- luo
+- mer
+- som
+tags:
+- speech
+- audio
+- tts
+- asr
+- multilingual
+- low-resource
+- african-languages
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+size_categories:
+- 10K<n<100K
+---
+
+# Thiomi_5k_v1
+
+
+## Motivation
+
+This dataset release is part of the data and modeling effort described in:
+
+**The Thiomi Dataset: A Large-Scale Multimodal Corpus for Low-Resource African Languages**
+Hillary Mutisya, John Mugane
+
+The broader Thiomi work focuses on building high-quality multimodal resources for
+African languages and enabling ASR/MT/TTS research and deployment.
+
+## Data Structure
+
+Per language config (`eng_Latn`, `kik_Latn`, `kam_Latn`, `luo_Latn`, `mer_Latn`, `som_Latn`):
+
+Each config contains `train` and `test` splits. Every row has three fields:
+`sentenceId` (string), `audio` (HF `Audio` feature), and `transcription` (string).
+Row counts are identical across all language configs within a split — the 44
+previously-missing English sentences have been removed from every language.
+
+## Dataset Statistics
+
+| Config | Language | Train Samples | Test Samples | Train Audio (h) | Test Audio (h) |
+|---|---|---:|---:|---:|---:|
+| `eng_Latn` | English | 5,453 | 1,365 | 6.59 | 1.64 |
+| `kik_Latn` | Kikuyu  | 5,453 | 1,365 | 8.62 | 2.17 |
+| `kam_Latn` | Kamba   | 5,453 | 1,365 | 8.21 | 2.00 |
+| `luo_Latn` | Luo     | 5,453 | 1,365 | 8.65 | 2.16 |
+| `mer_Latn` | Kimeru  | 5,453 | 1,365 | 8.34 | 2.06 |
+| `som_Latn` | Somali  | 5,453 | 1,365 | 8.69 | 2.17 |
+| **Total**  |         | **32,718** | **8,190** | **49.10** | **12.21** |
+
+
+## Intended Uses
+
+- TTS training and adaptation per language
+- ASR training/evaluation with language-specific subsets
+- Speech-text alignment and multilingual benchmarking
+- Data selection and curriculum design for low-resource speech systems
+
+## Limitations
+
+- English audio was generated via TTS, not recorded by human speakers.
+- Language balance by *hours* differs despite approximately equal row counts.
+
+## Privacy and Ethics
+
+Please follow applicable consent, privacy, and data governance requirements from
+the upstream collection and platform process described in the Thiomi paper.
+
+## Citation
+
+If you use this dataset, please cite the Thiomi dataset paper:
+
+```bibtex
+@misc{mutisya_mugane_thiomi,
+  title  = {The Thiomi Dataset: A Large-Scale Multimodal Corpus for Low-Resource African Languages},
+  author = {Mutisya, Hillary and Mugane, John},
+  note   = {Thiomi NLP / Harvard University}
+}
+```
+
+## Acknowledgements
+
+Thanks to the Thiomi contributors, speakers, annotators, and reviewers who made
+multilingual speech data collection and curation possible.

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