TIGER-Lab/MetricInstruct
MetricInstruct The MetricInstrcut dataset consists of 44K quadruple in the form of (instruction, input, system output, error analysis) for 6 text generation tasks and 22 text generation datasets. The dataset is used to fine-tune TIGERScore, a Trained metric that follows Instruction Guidance to perform Explainable, and Reference-free evaluation over a wide spectrum of text generation tasks. Project Page | Paper | Code | Demo | TIGERScore-7B | TIGERScore-13B We present the… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/MetricInstruct.
| Author / organization | TIGER-Lab |
|---|---|
| License (as declared) | mit |
| Downloads | 153 (as reported by Hugging Face) |
| Likes | 13 |
| Created | 4 October 2023 |
| Last updated at source | 3 December 2023 |
Connected in the knowledge graph
- MaziyarPanahi/TIGERScore-13B-GGUFModel · used to train
- mradermacher/TIGERScore-13B-i1-GGUFModel · used to train
- mradermacher/TIGERScore-13B-GGUFModel · used to train
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- TIGER-Lab/MathInstructDataset
- TIGER-Lab/WebInstructSubDataset
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