| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - dialogue |
| pretty_name: Seamless Interaction Transcripts |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Seamless Interaction Transcripts |
|
|
| ## Dataset Summary |
|
|
| **Seamless Interaction Transcripts** is a large-scale dialogue dataset derived from *facebook/seamless-interaction* dataset. It contains verbatim transcriptions of **>3k dialogues in English** covering a range of contexts from general chit-chat to customer service. |
|
|
| The dataset is designed to support research and development of speech and dialogue systems that require modeling of **conversational turn-taking**, such as real-time conversational agents. |
|
|
| --- |
|
|
| ## Source Data |
|
|
| * **Base datasets**: |
| - *facebook/seamless-interaction* |
| * **Language(s)**: English |
| * **Modality**: Text |
| * **Interaction type**: Human conversational speech |
| * **Dialogues**: 3335 |
| * **Avg. Turns / Dialogue**: 37.47 |
| * **Speakers**: 2000+ |
|
|
| 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 text sources to ensure dataset splits can be made without contamination. |
|
|
| --- |
|
|
| ## Annotation Details |
|
|
| * **Transcripts** |
|
|
| * Generated automatically using **Whisper Large V3 Turbo**. |
| * A subset of samples (\~200) was manually reviewed. The transcripts are estimated to have approximately a word error rate (WER) of **\~2.8%**. |
| |
| --- |
|
|
| ## Dataset Structure |
|
|
| A typical data entry includes: |
|
|
| * `interaction_id`: Identifier for the interaction |
| * `messages`: Transcriptions in the form of an OpenAI-compatible chat message buffer |
| * `relation`: High level relationship identifier, e.g. "strangers", "familiar" |
| * `relation_detailed`: Detailed relationship identifier, e.g. "coworkers", "spouse" |
|
|
| --- |
|
|
| ## Usage |
| In order to load the dataset from the hub, you can use the `datasets` library: |
|
|
| ```python |
| ds = datasets.load_dataset( |
| "ThBel/seamless-interaction-transcripts", |
| split='train', |
| streaming=True # (optional) |
| ) |
| |
| for row in ds: |
| # Do something with the data |
| print(row['messages']) |
| ``` |
|
|
| Alternatively you may clone the `ThBel/seamless-interaction-transcripts` repository, and load the underlying parquet files using `pandas.read_parquet`. |
|
|
| --- |
|
|
| ## Disclaimer and Licensing |
|
|
| Note that Seamless Interaction Transcripts is a *derived dataset*. I am not the original creator of the source dataset (facebook/seamless-interaction) 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 **CC-BY-NC 4.0** license and are intended to be compatible with the licensing terms of the source dataset. |
|
|
| --- |
|
|
| ## Citation |
|
|
| If you use the Seamless Interaction Transcripts dataset in academic, non-commercial work, please reference the original dataset. |
|
|
