metadata
dataset_info:
features:
- name: source_id
dtype: string
- name: source_revision
dtype: string
- name: task
dtype: string
- name: validator_type
dtype: string
- name: validator_params_json
dtype: string
- name: ideal
dtype: string
- name: answer
dtype: string
- name: expected
dtype: bool
splits:
- name: train
num_bytes: 42198
num_examples: 39
download_size: 28278
dataset_size: 42198
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
SEQQA reward reference
Regression fixture for trl.internal.seqqa.reward, used by tests/internal/test_seqqa_rewards.py.
39 hand-checked answers across 20 SEQQA validator types: for each the
answer string, the ideal reference answer, and whether seqqa_accuracy_reward is expected to score it
1.0 (expected = true) or 0.0. validator_params_json is the serialised validator payload, and
source_id / source_revision point at the generated question this row was pinned from.
Values are pinned to real generated questions, so regenerating them is not equivalent to editing this set; change a row only alongside the reward change that motivates it.