mlsanityData to 7 Oct 2026

ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering

arXiv 2406.04866 ↗First posted 7 Jun 2024cs.CLcited by 6

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Abstract (arXiv)

We introduce textscComplexTempQA,footnoteDataset and code available at: https://github.com/DataScienceUIBK/ComplexTempQA a large-scale dataset consisting of over 100 million question-answer pairs designed to tackle the challenges in temporal question answering. textscComplexTempQA significantly surpasses existing benchmarks in scale and scope. Utilizing Wikipedia and Wikidata, the dataset covers questions spanning over two decades and offers an unmatched scale. We introduce a new taxonomy that categorizes questions as textitattributes, textitcomparisons, and textitcounting questions, revolving around events, entities, and time periods, respectively. A standout feature of textscComplexTempQA is the high complexity of its questions, which demand reasoning capabilities for answering such as across-time comparison, temporal aggregation, and multi-hop reasoning involving temporal event ordering and entity recognition. Additionally, each question is accompanied by detailed metadata, including specific time scopes, allowing for comprehensive evaluation of temporal reasoning abilities of large language models.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 20 of its 38 references that are in the map. First posted on arXiv 7 Jun 2024.

Builds on

20 of 38 references.

References · 20

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8 more
  1. 2020Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphscited by 26
  2. 2021FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text modelscited by 26
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  4. 2022BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Informationcited by 17
  5. 2023SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triplescited by 12
  6. 2023An Overview Of Temporal Commonsense Reasoning and Acquisitioncited by 10
  7. 2024ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pagescited by 10
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 4; 2026: 1.

6 papers.

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  1. 2022A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
  2. 2025A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation
  3. 2023TempTabQA: Temporal Question Answering for Semi-Structured Tables
  4. 2023Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning
  5. 2025RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
  6. 2025Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
  7. 2022TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
  8. 2022Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases