project-droid/DroidCollection
Dataset Description The dataset is structured into four primary classes: Human-Written Code: Samples written entirely by humans. AI-Generated Code: Samples generated by Large Language Models (LMs). Machine-Refined Code: Samples representing a collaboration between humans and LMs, where human-written code is modified or extended by an AI. AI-Generated-Adversarial Code: Samples generated by LMs with the specific intent to evade detection by mimicking human-like patterns and… See the full description on the dataset page: https://huggingface.co/datasets/project-droid/DroidCollection.
| Author / organization | project-droid |
|---|---|
| Downloads | 375 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 26 May 2025 |
| Last updated at source | 16 June 2025 |
Popularity, last 4 days
375 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- project-droid/DroidDetect-Base-BinaryModel · used to train
Recent changes
- 17 Oct 2026 Description: Dataset Description The dataset is structured into four primary classes: Human-Written Code: Samples written entirely by humans. AI-Generated Code: Samples generated by Large Language Models (LMs). Machine-Refined Code: Samples representing → Dataset Description The dataset is structured into four primary classes: Human-Written Code: Samples written entirely by humans. AI-Generated Code: Samples generated by Large Language Models (LMs). Machine-Refined Code: Samples representing
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