Datasets:
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---
license: apache-2.0
task_categories:
- question-answering
language:
- en
pretty_name: CopyColors MCQA
size_categories:
- n<1K
configs:
- config_name: 2_answer_choices
data_files:
- split: train
path: 2_answer_choices/train.jsonl
- split: validation
path: 2_answer_choices/validation.jsonl
- split: test
path: 2_answer_choices/test.jsonl
- config_name: 3_answer_choices
data_files:
- split: train
path: 3_answer_choices/train.jsonl
- split: validation
path: 3_answer_choices/validation.jsonl
- split: test
path: 3_answer_choices/test.jsonl
- config_name: 4_answer_choices
data_files:
- split: train
path: 4_answer_choices/train.jsonl
- split: validation
path: 4_answer_choices/validation.jsonl
- split: test
path: 4_answer_choices/test.jsonl
- config_name: 5_answer_choices
data_files:
- split: train
path: 5_answer_choices/train.jsonl
- split: validation
path: 5_answer_choices/validation.jsonl
- split: test
path: 5_answer_choices/test.jsonl
- config_name: 6_answer_choices
data_files:
- split: train
path: 6_answer_choices/train.jsonl
- split: validation
path: 6_answer_choices/validation.jsonl
- split: test
path: 6_answer_choices/test.jsonl
- config_name: 7_answer_choices
data_files:
- split: train
path: 7_answer_choices/train.jsonl
- split: validation
path: 7_answer_choices/validation.jsonl
- split: test
path: 7_answer_choices/test.jsonl
- config_name: 8_answer_choices
data_files:
- split: train
path: 8_answer_choices/train.jsonl
- split: validation
path: 8_answer_choices/validation.jsonl
- split: test
path: 8_answer_choices/test.jsonl
- config_name: 9_answer_choices
data_files:
- split: train
path: 9_answer_choices/train.jsonl
- split: validation
path: 9_answer_choices/validation.jsonl
- split: test
path: 9_answer_choices/test.jsonl
- config_name: 10_answer_choices
data_files:
- split: train
path: 10_answer_choices/train.jsonl
- split: validation
path: 10_answer_choices/validation.jsonl
- split: test
path: 10_answer_choices/test.jsonl
---
This dataset consists of formatted n-way multiple choice questions, where n is in [2,10]. The task itself is simply to copy the prototypical color from the context and produce the corresponding color's answer choice letter.
The "prototypical colors" dataset instances themselves come from [Memory Colors](https://aclanthology.org/2021.blackboxnlp-1.10/) (Norland et al. 2021) and [corypaik/coda](https://huggingface.co/datasets/corypaik/coda) (instances whose object_group is 0, indicating participants agreed on a prototypical color of that object). |