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@@ -74,7 +74,7 @@ tags:
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  - speaker-segmentation
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  ---
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- ## Dataset Description
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  The AMI Meeting Corpus consists of 100 hours of meeting recordings. The recordings use a range of signals
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  synchronized to a common timeline. These include close-talking and far-field microphones, individual and
@@ -84,5 +84,78 @@ were recorded in English using three different rooms with different acoustic pro
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  non-native speakers.
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  **Note**: This dataset has been preprocessed using [diarizers](https://github.com/kamilakesbi/diarizers/tree/main/datasets).
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- It makes the dataset compatible with `diarizers` scripts to fine-tune `pyannote` segmentation models.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - speaker-segmentation
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  ---
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+ # Dataset Card for the AMI dataset for speaker diarization
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  The AMI Meeting Corpus consists of 100 hours of meeting recordings. The recordings use a range of signals
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  synchronized to a common timeline. These include close-talking and far-field microphones, individual and
 
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  non-native speakers.
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  **Note**: This dataset has been preprocessed using [diarizers](https://github.com/kamilakesbi/diarizers/tree/main/datasets).
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+ It makes the dataset compatible with the `diarizers` repository scripts to fine-tune `pyannote` segmentation models.
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+
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+
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+ ## Motivation
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+
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+
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+
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+
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+
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+ ### Example Usage
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+
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+
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset("diarizers-community/ami", "ihm")
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+
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+ print(ds)
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+ ```
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+ gives:
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+ ```
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+ DatasetDict({
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+ train: Dataset({
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+ features: ['audio', 'timestamps_start', 'timestamps_end', 'speakers'],
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+ num_rows: 136
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+ })
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+ validation: Dataset({
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+ features: ['audio', 'timestamps_start', 'timestamps_end', 'speakers'],
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+ num_rows: 18
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+ })
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+ test: Dataset({
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+ features: ['audio', 'timestamps_start', 'timestamps_end', 'speakers'],
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+ num_rows: 16
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+ })
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+ })
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+ ```
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+
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+ ### Dataset Description
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+
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+ - **License:** CC BY 4.0
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+
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+
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+ ## Dataset source
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+
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+ - **Homepage:** https://groups.inf.ed.ac.uk/ami/corpus/
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+ - **Repository:** https://github.com/kamilakesbi/diarizers/tree/main/datasets
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+ - **Paper:**
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+ - **Leaderboard:**
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+ - **Point of Contact:** [jonathan@ed.ac.uk](mailto:jonathan@ed.ac.uk)
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+
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+ ## Citation
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+
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+ ```
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+ @misc{akesbi-diarizers,
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+ author = {Kamil Akesbi and Sanchit Gandhi},
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+ title = {"Diarizers: A repository for fine-tuning speaker diarization models"},
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+ year = {2024},
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+ publisher = {GitHub},
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+ journal = {GitHub repository},
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+ howpublished = {\url{https://github.com/huggingface/diarizers}}
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+ }
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+ ```
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+
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+ ```
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+ @article{article,
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+ author = {Mccowan, Iain and Carletta, J and Kraaij, Wessel and Ashby, Simone and Bourban, S and Flynn, M and Guillemot, M and Hain, Thomas and Kadlec, J and Karaiskos, V and Kronenthal, M and Lathoud, Guillaume and Lincoln, Mike and Lisowska Masson, Agnes and Post, Wilfried and Reidsma, Dennis and Wellner, P},
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+ year = {2005},
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+ month = {01},
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+ pages = {},
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+ title = {The AMI meeting corpus},
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+ journal = {Int'l. Conf. on Methods and Techniques in Behavioral Research}
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+ }
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+ ```
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+
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+
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