> For the complete documentation index, see [llms.txt](https://docs.saharaai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.saharaai.com/user-guide-data-services-platform/io.net-task-instructions.md). # IO.net Task Instructions ### Overview This task involves submitting high-quality video clips with accurate, physically-grounded captions to help train advanced AI video generation models. Your submissions directly impact the quality of next-generation AI video capabilities. ### Technical Specifications * Resolution: * Landscape: 1280×720 or 1920×1080 (16:9 aspect ratio) * Portrait: 720×1280 or 1080×1920 (9:16 aspect ratio) * Format: H.264 codec in MP4 container * Frame Rate: Minimum 30fps * Length: 5-10 seconds recommended (no hard limit if quality and consistency maintained) ### Content Requirements #### Shot Consistency (Critical) * Each clip must contain only **one continuous shot** from a single camera instance * Camera can move naturally (pan, tilt, zoom) but must represent uninterrupted recording * Avoid combining multiple shots - this creates "teleporting camera effects" * Submit multiple shots of the same scene as separate clips #### Quality Standards * Natural color grading with consistent white balance * Audio properly synchronized (if present) and free of clipping * Clear, focused subject matter without heavy compression * Stable lighting with no flickering or exposure jumps * Smooth playback without missing frames or jump cuts ### Caption Writing Guidelines #### Format Requirements Captions must be single, natural language descriptions that flow as coherent sentences or paragraphs. Do not use separate attributes or bullet points. #### Physical Grounding (Essential) ✅ **GOOD - Physically Grounded**: * "A person cuts metal with a plasma torch, creating bright sparks that fall to the concrete floor" * "The woman's purple scarf flows behind her as she pushes through the crowded subway platform" ❌ **BAD - Not Physically Grounded:** * "With tools like this, all materials will be easy to carve according to your needs" * "This technique ensures perfect results every time" **Rules for Physical Grounding**: * Describe only what is visually observable in the video * Avoid predictions, capabilities, or abstract concepts * Every word should relate to concrete visual elements * No claims about effectiveness, ease, or outcomes beyond what's shown #### Caption Structure Examples “a video of iron being carved with sharp cutting tools, the cuts are perfect and precise in a metal working shop, indoor lighting, extra details about what's in the background of the video, the camera slowly zooms.” “an anime of a woman wearing a purple scarf who is trying to run through a crowd of people. she bumps into several people while making it through. the camera is stationary. above them a sign says "Ochanomizu Station" in English and Japanese lettering.” “an iphone video of a woman wearing a purple scarf who is trying to run through a crowd of people. she bumps into several people while making it through. She holds the camera as she walks and the camera follows while facing her.”\ \ “An 3D animation of a girl running away from a kneeling woman in a kimono. a beautiful grassy meadow and sky make up their environment.” #### Required Elements in Captions 1. **Video Style/Format:** Specify if it's footage, 3D animation, anime, professional cinematography, etc. 2. **Subject Actions:** Describe what people/objects are doing using active verbs 3. **Environment Details:** Include setting, lighting conditions, background elements 4. **Camera Behavior:** Mention if camera moves, remains stationary, or follows subjects 5. **Visual Specifics:** Colors, textures, readable text, distinctive objects #### Caption Variety for Training **Mix detail levels across your submissions:** * **Verbose:** Include rich environmental details, specific materials, lighting descriptions * **Moderate:** Focus on main action with key environmental context * **Simple:** Concise descriptions of primary visual elements This variety helps AI models generalize better across different prompting styles. ### Content Diversity Requirements Submit varied content across: * **Demographics:** Different ages, ethnicities, clothing styles * **Environments:** Indoor/outdoor, urban/rural, different lighting conditions * **Subjects:** People, animals, objects, nature, technology * **Camera Styles:** Handheld, tripod, drone, close-up, wide shots * **Video Styles:** Professional, amateur, animation, different aspect ratios ### Evaluation Criteria #### Caption Accuracy (≥95% Required) Your descriptions must precisely match the video content. Mismatched captions result in automatic rejection. #### Physical Grounding Check Every caption element must correspond to something visually present in the video. Abstract concepts or unobservable claims will be flagged. #### Content Variety Score Multiple similar submissions (same person, location, or scenario) reduce data quality and may be rejected. #### Technical Compliance All videos must meet resolution, format, and consistency requirements. ### Submission Process 1. **Edit your video** to ensure single-shot consistency and technical requirements 2. **Write your caption** following physical grounding and natural language guidelines 3. **Review both video and caption** for accuracy and compliance 4. **Submit for verification** and await approval ### Common Rejection Reasons * Multiple shots combined in one clip * Captions describing things not visible in the video * Abstract or predictive language in descriptions * Poor video quality or technical non-compliance * Repetitive content without sufficient variety ### Success Tips * Watch your video multiple times before writing the caption * Read your caption while watching to ensure perfect alignment * Use specific, concrete visual language * Vary your submission types to maximize training value * Focus on what the AI model needs to "see" to recreate similar content