pkavumba/balanced-copa
Dataset Card for "Balanced COPA" Dataset Summary Bala-COPA: An English language Dataset for Training Robust Commonsense Causal Reasoning Models The Balanced Choice of Plausible Alternatives dataset is a benchmark for training machine learning models that are robust to superficial cues/spurious correlations. The dataset extends the COPA dataset(Roemmele et al. 2011) with mirrored instances that mitigate against token-level superficial cues in the original COPA… See the full description on the dataset page: https://huggingface.co/datasets/pkavumba/balanced-copa.
| Author / organization | pkavumba |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 4.6K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 3 October 2022 |
| Last updated at source | 3 October 2022 |
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Connected in the knowledge graph
- littlemex/prismyra-decision-qwen3.6-35b-a3b-nvfp4-36lModel · used to train
- tasksource/deberta-base-long-nliModel · used to train
- littlemex/prismyra-decision-qwen3.6-35b-a3b-fp8-36lModel · used to train
Recent changes
- 17 Oct 2026 Description: Dataset Card for "Balanced COPA" Dataset Summary Bala-COPA: An English language Dataset for Training Robust Commonsense Causal Reasoning Models The Balanced Choice of Plausible Alternatives dataset is a benchmark for training machine learni → Dataset Card for "Balanced COPA" Dataset Summary Bala-COPA: An English language Dataset for Training Robust Commonsense Causal Reasoning Models The Balanced Choice of Plausible Alternatives dataset is a benchmark for training machine learni
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