Update README.md

README.md

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 ---
+license: cc-by-nc-sa-4.0
 dataset_info:
 - config_name: face_embeddings
   features:
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   - split: train
     path: transcripts/train-*
 ---
+
+![iDRAMA-rumble-2024 Header](https://huggingface.co/datasets/iDRAMALab/iDRAMA-rumble-2024/resolve/main/iDRAMA-rumble-2024.jpeg?download=true)
+
+# Dataset Summary
+
+`iDRAMA-rumble-2024` is a large-scale dataset of 6,735 podcast videos from Rumble, an alternative Youtube-like platform. Using state-of-the-art models, we extract information across three modalities: 1) text, 2) audio, and 3) video. We detail the methodology for extracting information from podcast videos in the paper and release a first-of-its-kind dataset including data from different modalities:
+- **Metadata:** Details about podcast videos, e.g., channel name, video name, video description, and more.
+- **Text:** Transcription (i.e., speech-to-text) of podcast videos.
+- **Audio:** Speaker diarization information providing speaker detection over time for each video.
+- **Video:** Sampled representative video frames from each video, totaling 200K images. We also detect more than 400K non-unique faces from these images and release face embeddings.
+  
+  | Repo-links | Purpose |
+  |:------|:--------------|
+  | [Zenodo](https://zenodo.org/records/10515991) | Coming soon |
+  | [Github](https://github.com/idramalab/iDRAMA-rumble-2024) | The main repository of this dataset, where we provide code-snippets to get started with this dataset. |
+  | [Huggingface](https://hf.co/datasets/iDRAMALab/iDRAMA-rumble-2024) | On Huggingface, we provide a dataset that can be accessed through Huggingface APIs. |
+
+- **Rumble platform:** [Rumble](https://rumble.com)
+- **Link to paper:** [CySoc 2024](https://workshop-proceedings.icwsm.org/abstract.php?id=2024_07)
+- **License:** [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en)
+
+# Quick start with Datasets
+
+Install `Datasets` module by `pip install datasets` and then use the following code:
+
+```python
+from datasets import load_dataset
+
+# Download & Load complete dataset
+dataset = load_dataset("iDRAMALab/iDRAMA-rumble-2024")
+
+# Load dataset with specific config
+dataset = load_dataset("iDRAMALab/iDRAMA-rumble-2024", name="transcripts")
+```
+
+> More code-snippets to load the different variant of datasets efficiently are available on [Github](https://github.com/idramalab/iDRAMA-scored-2024) rpository.
+
+# Dataset Info
+
+Dataset is organized by yealry-comments and submissions -- comments-2020, comments-2021, comments-2022, comments-2023, submissions-2020-t0-2023.
+
+<table style="width:50%">
+  <tr>
+    <th style="text-align:left">Config</th>
+    <th style="text-align:left">Data-points</th>
+  </tr>
+  <tr>
+    <td>Podcast videos</td>
+    <td>6,735</td>
+  </tr>
+  <tr>
+    <td>Representative images</td>
+    <td>252,387</td>
+  </tr>
+  <tr>
+    <td>Face embeddings</td>
+    <td>399,333</td>
+  </tr>
+  <tr>
+    <td>Transcripts & Speaker diarization</td>
+    <td>6,735</td>
+  </tr>
+</table>
+<br>
+
+# Version
+
+- **Maintenance Status:** Active
+- **Version Details:**
+  - *Current Version:* v1.0.0
+  - *First Release:* 06/03/2024
+  - *Last Update:* 06/03/2024
+
+# Authorship
+This dataset is published at "Workshop Proceedings of the 18th International AAAI Conference on Web and Social Media" hosted at Buffalo, NY, USA.
+
+- **Academic Organization:** [iDRAMA Lab](https://idrama.science/people/)
+- **Authors:** Utkucan Balci, Jay Patel, Berkan Balci, Jeremy Blackburn
+- **Affiliation:** Binghamton University
+
+# Licensing
+This dataset is available for free to use under terms of the non-commercial license [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en).
+
+# Citation
+
+```bibtex
+Coming soon
+```