Kaylee0501/ImplexConv-opposed
๐ Dataset Summary ImplexConv is a large-scale dataset developed to evaluate implicit reasoning in long-term, multi-session conversations.The dataset is divided into two parts: Supportive Implicit Reasoning: Contains 814 examples. Opposed Implicit Reasoning: Contains 1,550 examples. Each example includes approximately 100 dialogue sessions, along with multiple question-answer pairs. The dataset challenges models to track long-term dependencies and reason beyond explicitโฆ See the full description on the dataset page: https://huggingface.co/datasets/Kaylee0501/ImplexConv-opposed.
| Author / organization | Kaylee0501 |
|---|---|
| License (as declared) | mit |
| Downloads | 214 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 22 April 2025 |
| Last updated at source | 29 April 2025 |
Recent changes
- 16 Oct 2026 Description: ๐ Dataset Summary ImplexConv is a large-scale dataset developed to evaluate implicit reasoning in long-term, multi-session conversations.The dataset is divided into two parts: Supportive Implicit Reasoning: Contains 814 examples. Opposed I โ ๐ Dataset Summary ImplexConv is a large-scale dataset developed to evaluate implicit reasoning in long-term, multi-session conversations.The dataset is divided into two parts: Supportive Implicit Reasoning: Contains 814 examples. Opposed I
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