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--- |
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license: mit |
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language: |
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- en |
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tags: |
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- education |
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- video_dataset |
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- text_to_video_dataset |
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pretty_name: rita |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Rita Educational Video Dataset |
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## Dataset Description |
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The **Rita** is a large-scale, curated collection of educational videos designed to advance research in multimodal learning, video understanding, and educational technology. |
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### Overview |
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This dataset contains approximately `100+` hours of educational content across `1 Lack` videos, totaling ~100 GB. The videos cover a wide range of academic subjects and skill levels, from `class 1 math subject` to `class 8 math subject`. |
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### Supported Tasks |
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* **Video-Language Modeling:** Training models to understand the relationship between visual content and spoken narration. |
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* **Automatic Lecture Transcription (ASR):** Converting speech in educational contexts to text. |
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* **Educational Video Classification:** Categorizing videos by subject, difficulty level, or teaching style. |
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* **Knowledge Tracing & Summarization:** Extracting key concepts and creating summaries from video content. |
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* **Multimodal Embodiment:** Learning joint representations of video, and text. |
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### Languages |
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The primary language of the audio and any on-screen text is `[e.g., English]`. |
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## Dataset Structure |
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### Data Instances |
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A typical data instance is a video file (e.g., `lecture_00542.mp4`) accompanied by a metadata entry. The dataset is structured as follows: |
