README.md

---
license: bsd
task_categories:
- text-classification
#task_ids:
#- binary-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: 4726815352
    num_examples: 2969790
  download_size: 1025867102
  dataset_size: 4726815352
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.
      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](https://github.com/sei-eschwartz/buildexes/tree/master/tests/src/oo).
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](https://github.com/sei-eschwartz/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

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]