Updated data sources

README.md

@@ -30,30 +30,28 @@ size_categories:
 
 ## Dataset Summary
 
-**Utterly** is a speech dataset derived from *pipecat/human_5_all* and *pipecat/smart-turn-data-v3.1-train*. It contains over **5.8k recordings of partial and complete English utterances by a broad range of speakers**, each augmented with **turn-level annotations**, including:
+**Utterly** is a speech dataset derived from *pipecat-ai/human_5_all* and *pipecat-ai/smart-turn-data-v3.1-train*. It contains over **7.1k recordings of complete and partial English utterances**, each augmented with **turn-level annotations**, including:
 
 * Verbatim Whisper-generated transcripts
 * End-of-turn (EoT) markers
 * Speaker identifiers (Coming soon)
 
-The dataset is designed to support research and development of speech and dialogue systems that require joint modeling of **speech recognition** and **conversational turn-taking**, such as streaming ASR systems and real-time conversational agents.
+The dataset is designed to support research and development of speech and dialogue systems that require joint modeling of **speech recognition** and **conversational turn-taking**, such as streaming ASR systems, semantic end-of-turn detection and real-time conversational agents.
 
 ---
 
 ## Source Data
 
-* **Base dataset**: 
+* **Base datasets**: 
   - *pipecat-ai/human_5_all*
   - *pipecat-ai/smart-turn-data-v3.1-train*
 * **Language(s)**: English
 * **Modality**: Audio (speech; mono-channel; sampled at 16kHz), Text
 * **Interaction type**: Human conversational speech
 * **Utterances**: 5,332
-* **Speakers**: >100
+* **Speakers**: 500+
 
-Dataset splits (e.g., train/validation/test) are not predefined and may be created by downstream users as needed. Care was taken to ensure examples are unique through deduplication of the underlying audio examples.
-
-Note that Utterly is a *derived dataset*. All audio originates from the base datasets, with additional annotations created by the dataset author.
+Dataset splits (e.g., train/validation/test) are not predefined and may be created by downstream users as needed. Deduplication was applied to the underlying audio sources to ensure dataset splits can be made without contamination.
 
 ---
 
@@ -85,12 +83,30 @@ A typical data entry includes:
 
 ---
 
+## Usage
+In order to load the dataset from the hub, you can use the `datasets` library:
+
+```python
+ds = datasets.load_dataset(
+    "ThBel/Utterly",
+    split='train',
+    streaming=True # (optional)
+)
+
+for row in ds:
+    # Do something with the data
+    print(row['audio']) # or row['is_complete'], row['transcript'], ...
+```
+
+Alternatively you may clone the `ThBel/Utterly` repository, and load the underlying parquet files using `pandas.read_parquet`.
+
+---
+
 ## Intended Use Cases
 
 The Utterly dataset is designed to support a range of speech and dialogue research tasks, including but not limited to:
 
 * **Automatic Speech Recognition (ASR)** with embedded end-of-turn detection
-* **Streaming ASR** where turn completion must be predicted before long silences
 * **Semantic end-of-turn modeling** using lexical and acoustic cues
 * **Turn-taking and floor-control research** in conversational AI
 * **Voice assistants and dialogue systems** requiring low-latency response timing
@@ -115,12 +131,15 @@ Users are encouraged to validate performance across multiple evaluation settings
 
 ---
 
-## Licensing and Access
+## Disclaimer and Licensing
 
-Utterly annotations are released under the **BSD-2-Clause** license and are intended to be compatible with the licensing terms of the source datasets.
+Note that Utterly is a *derived dataset*. I am not the original creator of the source datasets and hold no rights over its content. This dataset is provided as-is for research purposes, and all credit goes to the original authors.
+
+Annotations are released under the **BSD-2-Clause** license and are intended to be compatible with the licensing terms of the source datasets. 
 
 ---
 
 ## Citation
 
-If you use the Utterly dataset in academic or commercial work, please reference the original datasets.
+If you use the Utterly dataset in academic or commercial work, please reference the original datasets.
+

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