Datasets:

hewittlab
/

monitor_cot_for_hack-judge

license: cc-by-4.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: train.parquet
      - split: dev
        path: dev.parquet
      - split: test
        path: test.parquet
      - split: probe
        path: probe.parquet

monitor_cot_for_hack-judge

Training data for the judge task of Reward Misspecification Degrades Chain-of-Thought Monitorability (code), built from lmarena-ai/arena-human-preference-140k (cc-by-4.0).

Data: Chatbot Arena Claude-vs-Gemini response pairs that are equally preferred by human annotators
Entry num per split: train 840, dev 111, test 111, probe 50
Probe: probe is a held out set of queries used for generating reward descriptions
True reward: L1 similarity between the model's preference and the human preference, an even 0.5/0.5 split (see the paper for details)
Misspecified reward: L1 similarity between the model's preference and a 0.9/0.1 split favoring Gemini