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README.md

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-<!-- Hugging Face Dataset Card
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-**Dataset Name:** SpeakingFaces (This name is assumed, adapt if different)
-
-**Summary:**
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-The SpeakingFaces dataset (details to be filled in, based on content provided) focuses on [**add description of the dataset's content, e.g., the relationship between speech and facial expressions, or the specific type of facial data captured**].  It is intended for research in [**add research areas, e.g.,  speech recognition, facial expression analysis, multimodal learning**]. [**Add details on what makes this dataset novel or unique if available**].  The dataset's characteristics will be detailed below.
-
-
-**Dataset Characteristics:**
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-| Characteristic          | Description                                                         |
-|-----------------------|---------------------------------------------------------------------|
-| **Modality**           | [**e.g.,  Video, Audio, Text** -  Fill in based on dataset content]       |
-| **Size**               | [**e.g., Number of videos, audio files, or other data units**]           |
-| **Languages**          | [**List languages included**]                                     |
-| **License**            | [**Specify license e.g., MIT License**]                             |
-| **Citation**           | [**Include BibTeX citation here if available**]                       |
-
-
-**Additional Information:**
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-[**Add any other relevant information, e.g., data preprocessing steps, planned future updates, etc.**]
-
-
-**GitHub Repository:**
-
-[Replace with the correct GitHub repo link if available, otherwise remove this section]
-
-
-
-**Note:** This dataset card is a template.  To complete it accurately, replace the bracketed placeholders with information from the provided content (which was not provided in the prompt).  If the original content contains tables, incorporate them into this card as appropriate.  The absence of a README on GitHub significantly limits the information available for this card.
- -->
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/67056b2e6409e548690b1b6f/ZtIZtUMj98QSc8DKWfOWF.png)
+Data were collected from 142 subjects, yielding over 13,000 instances of synchronized data (3.8 TB).
+Link to the published paper: https://www.mdpi.com/1424-8220/21/10/3465/htm
+Data Acquisition
+FLIR T540 thermal camera (464×348 pixels, 24◦ FOV) and a Logitech C920 Pro HD web-camera (768×512 pixels, 78◦ FOV) with a built-in dual stereo microphone were used for data collection purpose. Each subject participated in two trials where each trial consisted of two sessions. In the first session, subjects were silent and still, with the operator capturing the visual and thermal video streams through the procession of nine collection angles. The second session consisted of the subject reading a series of commands as presented one-by-one on the video screens, as the visual, thermal and audio data was collected from the same nine camera positions.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/67056b2e6409e548690b1b6f/C-YgEV4bfR7N-8AzDOTqA.png)
+
+## Citation
+
+@Article{s21103465,
+ AUTHOR = {Abdrakhmanova, Madina and Kuzdeuov, Askat and Jarju, Sheikh and Khassanov, Yerbolat and Lewis, Michael and Varol, Huseyin Atakan},
+ TITLE = {SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams},
+ JOURNAL = {Sensors},
+ VOLUME = {21},
+ YEAR = {2021},
+ NUMBER = {10},
+ ARTICLE-NUMBER = {3465},
+ URL = {https://www.mdpi.com/1424-8220/21/10/3465},
+ ISSN = {1424-8220},
+ DOI = {10.3390/s21103465}
+}