datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
trivia_qa
Dataset Card for "trivia_qa"
Dataset Summary
TriviaqQA is a reading comprehension dataset containing over 650K
question-answer-evidence triples. TriviaqQA includes 95K question-answer
pairs authored by trivia enthusiasts and independently gathered evidence
documents, six per question on average, that provide high quality distant
supervision for answering the questions.
Supported Tasks and Leaderboards
More Information Needed
Languages… See the full description on the dataset page: https://huggingface.co/datasets/mandarjoshi/trivia_qa.based_triviaqatrivia_qa_tiny
Dataset Card for Dataset Name
Dataset Summary
This dataset contains 100 samples from trivia_qa dataset. It is used mainly for testing purposes.
Languages
English.
Dataset Structure
Data Instances
Total data size: 8Kb.
Data Fields
question: string feature, containing question to be answered.
`answer: string feature, answer to the question.
Data Splits
Only test split, that contains 100 rows, is supported.
TriviaQA-in-SQuAD-format
Dataset Card for "TriviaQA-in-SQuAD-format"
More Information needed
triviaqa
Dataset Card for "triviaqa"
Split taken from the MRQA 2019 Shared Task, formatted and filtered for Question Answering. For the original dataset, have a look here.
trivia-qa-triplet
Dataset Card for Trivia QA with Triplets
This is a reformatting of the Trivia QA dataset used to train the BGE-M3 model. See the full BGE-M3 dataset in Shitao/bge-m3-data.
Dataset Subsets
triplet subset
Columns: "anchor", "positive", "negative"
Column types: str, str, str
Examples:{
'anchor': 'Which American-born Sinclair won the Nobel Prize for Literature in 1930?',
'positive': 'Sinclair Lewis Sinclair Lewis Harry Sinclair Lewis (February 7… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/trivia-qa-triplet.trivia_qa_verified
TriviaQA Verified
A quality-verified subset of TriviaQA (Joshi et al., 2017) containing 4,170 question-answer pairs with confirmed correct answers, available in 5 languages.
Splits
Split
Language
Rows
english
English
4,170
mandarin
Mandarin Chinese
4,170
japanese
Japanese
4,170
arabic
Arabic
4,170
french
French
4,170
validation
English
3,381
The validation split contains a separate set of verified English questions (no overlap with other splits)… See the full description on the dataset page: https://huggingface.co/datasets/ai-safety-institute/trivia_qa_verified.trivia-qa-20k
Dataset Description
This dataset, trivia-qa-20k, is a cleaned and simplified version of the popular mandarjoshi/trivia_qa dataset. It contains 20,000 high-quality, simple question-answer pairs in English.
The data is structured for ease of use in fine-tuning models for straightforward question-answering tasks, where context or evidence is not required.
Note: This is a cleaned and simplified version of the mandarjoshi/trivia_qa dataset.
Dataset Structure
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/prajwalmani/trivia-qa-20k.trivia-qa
Dataset Card for Trivia QA
This dataset is a collection of question-answer pairs collected from the Trivia QA dataset. See Trivia QA for additional information.
This dataset can be used directly with Sentence Transformers to train embedding models.
Dataset Subsets
pair subset
Columns: "query", "answer"
Column types: str, str
Examples:{
'query': 'Which American-born Sinclair won the Nobel Prize for Literature in 1930?',
'answer': 'The Nobel Prize in… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/trivia-qa.Splits_Subset_TriviaQa
Dataset Card for "Splits_Subset_TriviaQa"
More Information needed
trivia_qa_tiny
Dataset Card for trivia_qa_tiny
This is a preprocessed version of trivia_qa_tiny dataset for benchmarks in LM-Polygraph.
Dataset Details
Dataset Description
Curated by: https://huggingface.co/LM-Polygraph
License: https://github.com/IINemo/lm-polygraph/blob/main/LICENSE.md
Dataset Sources [optional]
Repository: https://github.com/IINemo/lm-polygraph
Uses
Direct Use
This dataset should be used for performing… See the full description on the dataset page: https://huggingface.co/datasets/LM-Polygraph/trivia_qa_tiny.trivia-qa-lance
TriviaQA (Lance Format)
A Lance-formatted version of TriviaQA (rc.nocontext config) — a large reading-comprehension dataset of trivia questions paired with a canonical answer, accepted aliases, and entity-type metadata — with MiniLM question embeddings stored inline and ready for retrieval at hf://datasets/lance-format/trivia-qa-lance/data. The rc.nocontext slice is the standard reading-comprehension form without the multi-gigabyte entity_pages / search_results payloads, which keeps… See the full description on the dataset page: https://huggingface.co/datasets/lance-format/trivia-qa-lance.trivia_qa
Dataset Card for "trivia_qa_passages"
More Information needed
triviaqa-hotpotqa-nq-squad-msmarco-hard-neg-sft4btrivia_qa_unfiltered_promptsourcetriviaqa
Dataset Card for triviaqa
This is a preprocessed version of triviaqa dataset for benchmarks in LM-Polygraph.
Dataset Details
Dataset Description
Curated by: https://huggingface.co/LM-Polygraph
License: https://github.com/IINemo/lm-polygraph/blob/main/LICENSE.md
Dataset Sources [optional]
Repository: https://github.com/IINemo/lm-polygraph
Uses
Direct Use
This dataset should be used for performing benchmarks on… See the full description on the dataset page: https://huggingface.co/datasets/LM-Polygraph/triviaqa.trivia_qa
Dataset Card for "trivia_qa"
More Information needed
iti_trivia_qa_valtrivia_qa
Dataset Card for "trivia_qa"
A processed version of this Trivia QA dataset. Here is the original paper.
Our test set consists of the validation set of the unfiltered subset.
Our train set consists of the training, validation, and test of the rc subset.
The evidence column includes a document that support the answer to the question.
honesty_triviaqa_zephyr_responses_v1
Dataset Card for "honesty_zephyr_responses_v1"
More Information needed
triviaqa_splits_for_viquaetriviaqa_for_viquaeSee https://github.com/PaulLerner/ViQuAE
Get the original dataset there: http://nlp.cs.washington.edu/triviaqa/ (or via HF: https://huggingface.co/datasets/trivia_qa)
TriviaQAtriviaQARCtriviaqa-span-annotated
TriviaQA (span annotated)
This dataset consists of the test set taken from the original TriviaQA dataset, as tsv files with the following example format:
query: What is the Japanese product kakiemon?
document: "1000+ images about Kakiemon on Pinterest | Antiques, Vase and Products Learn more at rubylane.com Japanese Meiji-Showa Period Imari Porcelain Platter Red, White and Blue with Imperial Seal"
spans: [132:141]
The spans indicate on character level, which phrases or words in the… See the full description on the dataset page: https://huggingface.co/datasets/jinaai/triviaqa-span-annotated.trivia_qa_ukrTriviaQA_SQuAD
This is a TriviaQA wikipedia dataset that was reformated and "answer_start" added
This dataset has context max tokens length of 5000.
I used this dataset for my research, you can find code for reformatting TriviaQA here:
https://github.com/Kkordik/NovelQSI
triviaqa_openroutertriviaqa_speech
TriviaQA Speech
Speech version of TriviaQA eval, where the speech is synthesized using XTTS-v2. Note that there might not be a 1:1 mapping with the original text eval due to TTS failures.
triviaqa