Finance

SubjECTive-QA

SubjECTive-QA: measuring subjectivity in earnings-call-transcript QA. Models rate each (question, answer) pair on a 3-class scale (0/1/2) for each of six subjective features (Assertive, Cautious, Clear, Optimistic, Relevant, Specific). Scored as classification correctness against human gold labels.

3,300items
5subjects
CC-BY-4.0license
financedomain
nlp_taskdomain
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

Fit to width. Hover for subject & item; click a cell for details.

SubjECTive-QA response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1Mixtral-8x22B-Instruct-v0.10.5879
  2. 2Llama-3-8b-chat-hf0.5642
  3. 3Llama-3-70b-chat-hf0.5571
  4. 4Mixtral-8x7B-Instruct-v0.10.5038
  5. 5gpt-4o0.4924