Dataset · Hugging Face
deepset/germandpr
We take GermanQuAD as a starting point and add hard negatives from a dump of the full German Wikipedia following the approach of the DPR authors (Karpukhin et al., 2020). The format of the dataset also resembles the one of DPR. GermanDPR comprises 9275 question/answer pairs in the training set and 1025 pairs in the test set. For each pair, there are one positive context and three hard negative contexts.
| Author / organization | deepset |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 153 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 2 March 2022 |
| Last updated at source | 6 April 2023 |
Connected in the knowledge graph
- Zeolit/lettuce-eidos-768d-v5Model · used to train
- deepset/gbert-base-germandpr-question_encoderModel · used to train
- deepset/gbert-base-germandpr-ctx_encoderModel · used to train
- deepset/gbert-base-germandpr-rerankingModel · used to train
- keyvan-ai/Mankei-326M-EmbedderModel · used to train
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