datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
exp_flat25_pseudocode_10k_glm_4.7_traces_jupiterexp_flat25_pseudocode_10kGitHub-C-Code-Pseudocode-C-Py-New-v3glm52-datagen-r11-59-flat25-pseudocode-v2-tracesexp_flat25_pseudocodeexp_8_2_spec_modality_pseudocode_test25pseudocode-decompiled-samples-smallGitHub-C-Code-Pseudocode-C-Py-Testexp_8_2_spec_modality_pseudocode_test5GitHub-C-Code-Pseudocode-C-Py-Newexp_8_2_spec_modality_pseudocodeopenssl_pseudocodePseudocodes
Pseudocode Dataset for AI-Generated and Student-Generated Pseudocode
Description
This dataset contains pseudocode generated by students and three different versions of the ChatGPT model. The primary purpose of this dataset is to differentiate between AI-generated pseudocode and student-generated pseudocode.
Label 0: Represents pseudocode written by students.
Label 1: Represents pseudocode generated by ChatGPT models (three versions included).
The dataset is structured… See the full description on the dataset page: https://huggingface.co/datasets/Zifeng01code/Pseudocodes.GitHub-C-Code-Pseudocode-ConcatenatedGitHub-C-Code-Pseudocode-NewGitHub-C-Code-Pseudocode-C-Py-New-v3-TestGitHub-C-Code-PseudocodeGitHub-C-Code-Pseudocode-TestGraph_Structure_Learning_PseudocodeGitHub-C-Code-Pseudocode-C-Py-New-v2s1K-1.1_tokenized_pseudocodematlab-nl-pseudocode-v2matlab-nl-pseudocodeGraph_Structure_Learning_Pseudocode_newDataset-of-Classified-PSEINT-PseudocodesGraph_Structure_Learning_Pseudocode_new_new