Update README.md
Browse files
README.md
CHANGED
|
@@ -32,7 +32,7 @@ size_categories:
|
|
| 32 |
|
| 33 |
**Utterly** is a speech dataset derived from *pipecat-ai/human_5_all*. It contains **~3.86k English utterances** by a broad range of speakers, and augments conversational audio with turn-level annotations, including:
|
| 34 |
|
| 35 |
-
* Verbatim
|
| 36 |
* End-of-turn (EoT) markers
|
| 37 |
* Speaker identifiers (Coming soon)
|
| 38 |
|
|
@@ -43,12 +43,12 @@ The dataset is designed to support research and development of speech and dialog
|
|
| 43 |
|
| 44 |
## Source Data
|
| 45 |
|
| 46 |
-
* **Base dataset**: pipecat-ai/human_5_all
|
| 47 |
* **Language(s)**: English
|
| 48 |
* **Modality**: Audio (speech; mono-channel; sampled at 16kHz), Text
|
| 49 |
* **Interaction type**: Human conversational speech
|
| 50 |
* **Utterances**: 3,860
|
| 51 |
-
* **Speakers**: 100
|
| 52 |
|
| 53 |
Dataset splits (e.g., train/validation/test) are not predefined and may be created by downstream users as needed.
|
| 54 |
|
|
@@ -61,7 +61,7 @@ Note that Utterly is a *derived dataset*. All audio originates from the base dat
|
|
| 61 |
* **Transcripts**
|
| 62 |
|
| 63 |
* Generated automatically using **Whisper Large V3 Turbo**.
|
| 64 |
-
* A subset of samples (
|
| 65 |
|
| 66 |
* **End-of-Turn markers**
|
| 67 |
|
|
@@ -82,8 +82,6 @@ A typical data entry includes:
|
|
| 82 |
* `speaker_id`: Identifier for the speaker (Coming soon)
|
| 83 |
* `is_completed`: Boolean or categorical flag indicating end-of-turn, i.e. turn completion
|
| 84 |
|
| 85 |
-
Depending on downstream usage, additional metadata from the source dataset may also be present.
|
| 86 |
-
|
| 87 |
---
|
| 88 |
|
| 89 |
## Intended Use Cases
|
|
@@ -124,8 +122,4 @@ Utterly annotations are released under the **BSD-2-Clause** license and are inte
|
|
| 124 |
|
| 125 |
## Citation
|
| 126 |
|
| 127 |
-
If you use the Utterly dataset in academic or commercial work, please reference the original *pipecat-ai/human_5_all* dataset.
|
| 128 |
-
|
| 129 |
-
---
|
| 130 |
-
|
| 131 |
-
Future versions may include additional annotations, languages, or refined turn boundary definitions.
|
|
|
|
| 32 |
|
| 33 |
**Utterly** is a speech dataset derived from *pipecat-ai/human_5_all*. It contains **~3.86k English utterances** by a broad range of speakers, and augments conversational audio with turn-level annotations, including:
|
| 34 |
|
| 35 |
+
* Verbatim Whisper-generated transcripts
|
| 36 |
* End-of-turn (EoT) markers
|
| 37 |
* Speaker identifiers (Coming soon)
|
| 38 |
|
|
|
|
| 43 |
|
| 44 |
## Source Data
|
| 45 |
|
| 46 |
+
* **Base dataset**: *pipecat-ai/human_5_all*
|
| 47 |
* **Language(s)**: English
|
| 48 |
* **Modality**: Audio (speech; mono-channel; sampled at 16kHz), Text
|
| 49 |
* **Interaction type**: Human conversational speech
|
| 50 |
* **Utterances**: 3,860
|
| 51 |
+
* **Speakers**: >100
|
| 52 |
|
| 53 |
Dataset splits (e.g., train/validation/test) are not predefined and may be created by downstream users as needed.
|
| 54 |
|
|
|
|
| 61 |
* **Transcripts**
|
| 62 |
|
| 63 |
* Generated automatically using **Whisper Large V3 Turbo**.
|
| 64 |
+
* A subset of samples (\~200) was manually reviewed and corrected. The transcripts are estimated to have approximately a word error rate (WER) of **\~2.8%**.
|
| 65 |
|
| 66 |
* **End-of-Turn markers**
|
| 67 |
|
|
|
|
| 82 |
* `speaker_id`: Identifier for the speaker (Coming soon)
|
| 83 |
* `is_completed`: Boolean or categorical flag indicating end-of-turn, i.e. turn completion
|
| 84 |
|
|
|
|
|
|
|
| 85 |
---
|
| 86 |
|
| 87 |
## Intended Use Cases
|
|
|
|
| 122 |
|
| 123 |
## Citation
|
| 124 |
|
| 125 |
+
If you use the Utterly dataset in academic or commercial work, please reference the original *pipecat-ai/human_5_all* dataset.
|
|
|
|
|
|
|
|
|
|
|
|