Common-TSQA
Harbor: pendingA unified evaluation benchmark for time-series QA systems that aggregates public datasets to assess evidence use and reasoning reliability under interventions.
- Samples
- N/A
- Released
- 2026
- Scores
- 4
Available in EleutherAI lm-evaluation-harness as task family common voice (1 tasks).
$ npm i -g lettokenburn-cli$ ltb bench pull common-voice
External harness. pip install lm-eval && lm_eval --model <hf|vllm|openai-chat-completions> --model_args <model args> --tasks common_voice_en (lm-evaluation-harness task family 'common_voice') https://github.com/EleutherAI/lm-evaluation-harness
License is link-only: ltb bench pull fetches rows from the original host for local evaluation only and does not write a solution/ directory. Do not redistribute the generated tasks.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
No sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Available in EleutherAI lm-evaluation-harness as task family common_voice (1 tasks).