deepset/germanquad
In order to raise the bar for non-English QA, we are releasing a high-quality, human-labeled German QA dataset consisting of 13 722 questions, incl. a three-way annotated test set. The creation of GermanQuAD is inspired by insights from existing datasets as well as our labeling experience from several industry projects. We combine the strengths of SQuAD, such as high out-of-domain performance, with self-sufficient questions that contain all relevant information for open-domain QA as in the NaturalQuestions dataset. Our training and test datasets do not overlap like other popular datasets and i
| Author / organization | deepset |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 44 |
| Created | 2 March 2022 |
| Last updated at source | 6 April 2023 |
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Connected in the knowledge graph
- deepset/gelectra-large-germanquadModel · used to train
- dehio/german-qg-t5-quadModel · used to train
- deepset/gelectra-base-germanquadModel · used to train
- Zeolit/lettuce-eidos-768d-v5Model · used to train
- mradermacher/smollm3-3b-german-embed-GGUFModel · used to train
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