Datasets:
ejschwartz
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README.md
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license: bsd
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task_categories:
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- text-classification
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dataset_info:
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features:
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- name: Binary
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num_examples: 1471458
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download_size: 1009142685
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dataset_size: 3733942017
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---
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# Dataset Card for OO Method Test Dataset
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license: bsd
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task_categories:
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- text-classification
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task_ids:
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- binary_classification
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dataset_info:
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features:
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- name: Binary
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num_examples: 1471458
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download_size: 1009142685
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dataset_size: 3733942017
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train-eval-index:
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- config: default # The dataset config name to use. Example for datasets without configs: default. Example for glue: sst2
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task: text-classification # The task category name (same as task_category). Example: question-answering
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task_id: binary_classification # The AutoTrain task id. Example: extractive_question_answering
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splits:
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#train_split: train # The split to use for training. Example: train
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eval_split: train # The split to use for evaluation. Example: test
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col_mapping: # The columns mapping needed to configure the task_id.
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# Example for extractive_question_answering:
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# question: question
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# context: context
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# answers:
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# text: text
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# answer_start: answer_start
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text: Disassembly
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target: Type
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metrics:
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- type: accuracy # The metric id. Example: wer. Use metric id from https://hf.co/metrics
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name: accuracy # Tne metric name to be displayed. Example: Test WER
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---
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# Dataset Card for OO Method Test Dataset
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