ambig_qa / README.md
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metadata
dataset_info:
  - config_name: simple_instruct_ambiguous
    features:
      - name: input
        dtype: string
      - name: output
        sequence: string
    splits:
      - name: train
        num_bytes: 707608
        num_examples: 4747
      - name: validation
        num_bytes: 146398
        num_examples: 1070
    download_size: 313150
    dataset_size: 854006
  - config_name: simple_instruct_well_specified
    features:
      - name: input
        dtype: string
      - name: output
        sequence: string
    splits:
      - name: train
        num_bytes: 790693
        num_examples: 5289
      - name: validation
        num_bytes: 129834
        num_examples: 932
    download_size: 351752
    dataset_size: 920527
configs:
  - config_name: simple_instruct_ambiguous
    data_files:
      - split: train
        path: simple_instruct_ambiguous/train-*
      - split: validation
        path: simple_instruct_ambiguous/validation-*
  - config_name: simple_instruct_well_specified
    data_files:
      - split: train
        path: simple_instruct_well_specified/train-*
      - split: validation
        path: simple_instruct_well_specified/validation-*

Dataset Card for ambig_qa

This is a preprocessed version of ambig_qa dataset for benchmarks in LM-Polygraph.

Dataset Details

Dataset Description

Dataset Sources [optional]

Uses

Direct Use

This dataset should be used for performing benchmarks on LM-polygraph.

Out-of-Scope Use

This dataset should not be used for further dataset preprocessing.

Dataset Structure

This dataset contains the "continuation" subset, which corresponds to main dataset, used in LM-Polygraph. It may also contain other subsets, which correspond to instruct methods, used in LM-Polygraph.

Each subset contains two splits: train and test. Each split contains two string columns: "input", which corresponds to processed input for LM-Polygraph, and "output", which corresponds to processed output for LM-Polygraph.

Dataset Creation

Curation Rationale

This dataset is created in order to separate dataset creation code from benchmarking code.

Source Data

Data Collection and Processing

Data is collected from https://huggingface.co/datasets/ambig_qa and processed by using https://github.com/IINemo/lm-polygraph/blob/main/dataset_builders/build_dataset.py script in repository.

Who are the source data producers?

People who created https://huggingface.co/datasets/ambig_qa

Bias, Risks, and Limitations

This dataset contains the same biases, risks, and limitations as its source dataset https://huggingface.co/datasets/ambig_qa

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset.