--- task_categories: - automatic-speech-recognition language: - ta - gu - te dataset_info: - config_name: gu features: - name: audio dtype: audio - name: transcription dtype: string - name: audio_id dtype: string splits: - name: train num_bytes: 4739983146.192 num_examples: 22807 - name: test num_bytes: 578740547.85 num_examples: 3075 download_size: 4892009740 dataset_size: 5318723694.042001 - config_name: ta features: - name: audio dtype: audio - name: transcription dtype: string - name: audio_id dtype: string splits: - name: train num_bytes: 8359705604.568 num_examples: 39131 - name: test num_bytes: 603047036.672 num_examples: 3081 download_size: 5128373412 dataset_size: 8962752641.24 - config_name: te features: - name: audio dtype: audio - name: transcription dtype: string - name: audio_id dtype: string splits: - name: train num_bytes: 8420579336.816 num_examples: 44882 - name: test num_bytes: 579072608.12 num_examples: 3040 download_size: 5096987441 dataset_size: 8999651944.936 configs: - config_name: gu data_files: - split: train path: gu/train-* - split: test path: gu/test-* - config_name: ta data_files: - split: train path: ta/train-* - split: test path: ta/test-* - config_name: te data_files: - split: train path: te/train-* - split: test path: te/test-* --- # Microsoft Speech Corpus – Indian Languages ## Dataset Description This dataset is a redistribution of the **Microsoft Speech Corpus (Indian Languages)** containing conversational and phrasal speech training and test data for **Telugu**, **Tamil**, and **Gujarati** languages. Each entry includes an audio recording and its corresponding transcript. > **Attribution required:** *"Data provided by Microsoft and SpeechOcean.com"* > ⚠️ **License:** This data is provided for **research purposes only**. Commercial use is strictly prohibited. --- ## Dataset Structure ### Configurations | Config | Language | Script | |--------|----------|--------| | `ta` | Tamil | Tamil script (தமிழ்) | | `gu` | Gujarati | Gujarati script (ગુજરાતી) | | `te` | Telugu | Telugu script (తెలుగు) | ### Splits & Size | Language | Split | Examples | |----------|-------|----------| | Tamil (`ta`) | train | 39,131 | | Tamil (`ta`) | test | 3,081 | | Gujarati (`gu`) | train | 22,807 | | Gujarati (`gu`) | test | 3,075 | | Telugu (`te`) | train | 44,882 | | Telugu (`te`) | test | 3,040 | **Total: 116,016 examples** ### Data Fields | Field | Type | Description | |-------|------|-------------| | `audio` | `Audio` | Audio file with sampling rate metadata | | `transcription` | `string` | Transcript of the spoken content | | `audio_id` | `string` | Unique identifier of the audio file | --- ## Usage ```python from datasets import load_dataset # Load Tamil ta = load_dataset("deepdml/microsoft-speech-corpus-indian", "ta", trust_remote_code=True) # Load Gujarati gu = load_dataset("deepdml/microsoft-speech-corpus-indian", "gu", trust_remote_code=True) # Load Telugu te = load_dataset("deepdml/microsoft-speech-corpus-indian", "te", trust_remote_code=True) ``` Access a sample: ```python sample = ta["train"][0] print(sample["transcription"]) # → "நீங்க அழிகா இருக்கீங்க என்று சொல்வது..." sample["audio"] # → {"array": [...], "sampling_rate": 16000, "path": "000020021.wav"} ``` --- ## Dataset Creation ### Source Data The original data was collected and released by **Microsoft Research** in collaboration with **SpeechOcean.com** as part of the Microsoft Speech Corpus for Indian Languages. The corpus covers conversational and phrasal speech scenarios. ### Collection Process Audio recordings were collected from native speakers of Tamil, Gujarati, and Telugu across India and transcribed professionally. The data reflects natural spoken language including conversational speech patterns. --- ## License & Attribution This dataset is made available for **non-commercial research use only**. If you publish findings using this dataset, you **must** include the following attribution: > *"Data provided by Microsoft and SpeechOcean.com"* Original dataset: [Microsoft Research Open Data](https://www.microsoft.com/en-us/download/details.aspx?id=105292) --- ## Citation ```bibtex @dataset{microsoft_speech_corpus_indian, title = {Microsoft Speech Corpus (Indian Languages)}, author = {Microsoft Research and SpeechOcean.com}, year = {2020}, url = {https://msropendata.com/datasets/7230b4b1-912d-400e-be58-f84e0512985e}, note = {Non-commercial research use only} } ```