datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
telco-dpr-rag
Telco-DPR RAG
Dataset for Retrieval-Augmented Generation (RAG) based on Telco-DPR.
Structure
Subset
Splits
Description
corpus
train (default)
3GPP technical passages (text + tables) shared across all query splits
queries
train, dev, test
Synthetic telecom QA questions
qrels
train, dev, test
Relevance judgments (query ↔ passage)
answers
train, dev, test
Reference answers
Dataset statistics
Split
Queries
Corpus
train… See the full description on the dataset page: https://huggingface.co/datasets/DinoStackAI/telco-dpr-rag.wikipedia-22-12-de-dpr
Wikipedia 22-12 DE DPR
This is a German dataset for DPR model training.
DPR (Dense Passage Retrieval) is one of the most important components of RAG applications.
Based on this dataset, German document retrieval models can be trained.
The unique feature of this data set is that it contains not only training data for questions,
but also imperative questions.
An imperative question is a type of question that is phrased as a command or an instruction.
Since there is a formal and… See the full description on the dataset page: https://huggingface.co/datasets/deutsche-telekom/wikipedia-22-12-de-dpr.Modified_german_dpr_dataset
Original Dataset
The original dataset, deepset/germandpr, contains:
9275 training examples
1025 testing examples
Each example is a question/answer pair, consisting of:
One question
One answer
One positive context
Three negative contexts
You can find the original dataset here.
Modifications
Adding Easy Negative Examples
To enhance the dataset, an "easy negative example" was added to each row. The objective of this addition is to train the model to… See the full description on the dataset page: https://huggingface.co/datasets/AbrarHyder/Modified_german_dpr_dataset.