AutoDroid V2 training data
Conversation-formatted supervision released for fine-tuning AutoDroid V2, with the project documenting a ShareGPT-style JSON configuration.
AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.
What is this resource?
- Resource type
- Datasets
- Environment
- android
- Topics
- data-generation, imitation-learning, mobile-navigation
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-17T09:15:33Z
- Resource ID
- url:9a3506ca6ef034adb424
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- Not recorded
- Data
- mit (Publisher dataset-card license declaration; does not establish permissions for model weights or third-party application content.)
- Document
- Not recorded
- Weights
- Not recorded
License review notes
- Data: Publisher dataset-card license declaration; does not establish permissions for model weights or third-party application content. Source 1
Dataset profile
- Supervision
- supervised conversations for AutoDroid-V2 fine-tuning
- Modalities
- text
- Formats
- JSON in ShareGPT conversation format
- Splits
- Not recorded
Scale and counting units
Not recordedThe card has license metadata only. The project training README supplies formatting and purpose. No sample count or split inventory is inferred from the training configuration.
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Recorded specifications
- availability
- Public ungated JSON artifact is listed by the Hub manifest.
- disabled
- false
- download url
- https://huggingface.co/datasets/BlitherBoom/AutoDroid-V2-Dataset/tree/main
- gated
- false
- hub id
- BlitherBoom/AutoDroid-V2-Dataset
- release revision
- f041810dd32a2f2999647b7d4f4b8438482c01b8
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Scope and limitations
The public Hub manifest lists AutoDroid-V2-Dataset.json; no training records were downloaded. The card contains only an MIT metadata declaration, so the description and intended training use come from the official repository training guide. Sample count, split sizes and third-party-content rights remain unverified; the training command max_samples value is not treated as a dataset count.
Related resources
- component of: AutoDroid V2
Primary evidence and verification
Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.
- editorial primary review
Retrieved 2026-10-17T09:15:33Z. Supports: name, kind, identity, release_status, details.hub_id, details.gated, details.disabled, details.release_revision, details.availability, details.download_url, details.dataset_profile.modalities.
Content fingerprint
1b300edfbf44167da71639a56f8ab668dabd33769575fb313ebef5220fc1bddb - editorial primary review
Retrieved 2026-10-17T09:15:33Z. Supports: licenses.data.
Content fingerprint
d8d7a46d41a1a37fe4f0a5f637bf55c649310185329127d8a2204632e480be17 - editorial primary review
Retrieved 2026-10-17T09:14:58Z. Supports: summary, topics, scope, notes, details.dataset_profile, relations.
Content fingerprint
8ba37983a2c2da53d96a52696c07e4bdbea4e987a1a07b557935d614c3be46d2 - editorial primary review
Retrieved 2026-10-17T09:14:58Z. Supports: environments, topics, scope.
Content fingerprint
74508100843f8db6db6bb151e77ac1cc604a6b7ebd16d3225266d73434465136
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