oo-method-test / README.md
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license: bsd
task_categories:
  - text-classification

dataset_info: features: - name: Binary dtype: string - name: Addr dtype: string - name: Name dtype: string - name: Type dtype: class_label: names: '0': func '1': method - name: Disassembly dtype: string config_name: ejschwartz--oo-method-test splits: - name: combined num_bytes: 3560837643 num_examples: 1471458 download_size: 1001202060 dataset_size: 3560837643 train-eval-index: - config: default # The dataset config name to use. Example for datasets without configs: default. Example for glue: sst2 task: text-classification # The task category name (same as task_category). Example: question-answering task_id: binary_classification # The AutoTrain task id. Example: extractive_question_answering splits: #train_split: train # The split to use for training. Example: train eval_split: train # The split to use for evaluation. Example: test col_mapping: # The columns mapping needed to configure the task_id. # Example for extractive_question_answering: # question: question # context: context # answers: # text: text # answer_start: answer_start Disassembly: text Type: target metrics: - type: accuracy # The metric id. Example: wer. Use metric id from https://hf.co/metrics name: accuracy # Tne metric name to be displayed. Example: Test WER

Dataset Card for OO Method Test Dataset

Dataset Description

Dataset Summary

This dataset describes compiled functions in various small, simple C++ programs. These programs were automatically compiled using various versions of Microsoft's Visual C++ compiler and different compilation settings. The details can be found in the BuildExes repository.

For each function, the dataset includes a disassembled (using ROSE's bat-dis tool) representation of the compiled code, its name, and whether the function is a OO method or not.

This dataset is largely intended for @ejschwartz to experiment with learning techniques and tools. The programs are artificial and are likely not representative of real programs.

Supported Tasks and Leaderboards

[More Information Needed]

Dataset Structure

Data Instances

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Data Fields

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Data Splits

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