dataset_info:
features:

• name: messages
  list:
  • name: content
    dtype: string
  • name: role
    dtype: string
• name: ground_truth
  dtype: string
• name: dataset
  dtype: string
• name: constraint_type
  dtype: string
• name: constraint
  dtype: string
  splits:
• name: train
  num_bytes: 29394048
  num_examples: 14973
  download_size: 11653857
  dataset_size: 29394048
  configs:
• config_name: default
  data_files:
  • split: train
    path: data/train-*
    license: odc-by

IF Data - RLVR Formatted

This dataset contains instruction following data formatted for use with open-instruct - specifically reinforcement learning with verifiable rewards.

Prompts with verifiable constraints generated by sampling from the Tulu 2 SFT mixture and randomly adding constraints from IFEval.

Part of the Tulu 3 release, for which you can see models here and datasets here.

Dataset Structure

Each example in the dataset contains the standard instruction-tuning data points as follow:

• messages (list): inputs used to prompt the model (after chat template formatting).
• ground_truth (str): the arguments to be passed to the verifying function, as a json blob.
• dataset (str): the dataset the sample belongs to.
• constraint_type (str): the constraint present in the prompt.
• constraint (str): the constraint described in plain english.