datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ACL-SRW-2025
Dataset Components
The dataset is partitioned into three discrete tables stored in CSV or Parquet format:
Questions
Recipes
Evaluation Results
Each component is described in detail below.
Questions
area
domain
question_number
An integer index uniquely identifying each question inside the knowledge domain.
translation_method
English, Google Translate, GPT-3.5-Turbo, GPT-4o, Human
question
option_a, option_b, option_c, option_d
Recipes
area… See the full description on the dataset page: https://huggingface.co/datasets/Translated-MMLU-Blind-Review/ACL-SRW-2025.prompt-sensitivity-codegen
Anonymous Prompt Sensitivity Dataset
This package contains model generations and evaluation outcomes for an anonymized
submission on prompt sensitivity in few-shot code generation.
What is included
prompt_sensitivity_dataset.jsonl: one row per generated sample
prompt_sensitivity_dataset.csv: tabular view of the same rows
prompt_sensitivity_dataset.parquet: columnar copy when parquet support is available
prompt_variant_spec.json: machine-readable description of the prompt… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-acl26/prompt-sensitivity-codegen.