datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agent-memory-bench-corpus
agent-memory-bench: the experience corpus
The neutral feed for a preregistered, execution-graded benchmark of memory layers for coding
agents. Every memory product under test ingests these same bytes through its own write path,
then an agent is given real coding work in a real repository where success depends on something
established in an earlier session, and the artifact is graded by execution: the task's tests
pass or they do not.
There is no LLM judge anywhere in the primary… See the full description on the dataset page: https://huggingface.co/datasets/Gde05/agent-memory-bench-corpus.gdelt-rag-golden-testset-v2
GDELT RAG Golden Test Set
Dataset Description
This dataset contains a curated set of question-answering pairs designed for evaluating RAG (Retrieval-Augmented Generation)
systems focused on GDELT (Global Database of Events, Language, and Tone) analysis. The dataset was generated using the
RAGAS framework for synthetic test data generation.
Dataset Summary
Total Examples: 12 QA pairs
Purpose: RAG system evaluation
Framework: RAGAS (Retrieval-Augmented… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/gdelt-rag-golden-testset-v2.gdelt-rag-golden-testset-v3
GDELT RAG Golden Test Set
Dataset Description
This dataset contains a curated set of question-answering pairs designed for evaluating RAG (Retrieval-Augmented Generation)
systems focused on GDELT (Global Database of Events, Language, and Tone) analysis. The dataset was generated using the
RAGAS framework for synthetic test data generation.
Dataset Summary
Total Examples: 12 QA pairs
Purpose: RAG system evaluation
Framework: RAGAS (Retrieval-Augmented… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/gdelt-rag-golden-testset-v3.gdelt-forecast-freeform
GDELT-Forecast Free-form
924 free-form forecasting questions (named entities, numbers, dates, short narrative answers) generated from clusters of news articles in the GDELT 2.0 corpus (Aug 2025 – Apr 2026). Each question is paired with the original seed-event articles, top-5 retrieved evidence articles dated strictly before the question creation date, and a verified ground-truth answer.
Intended use
Training and evaluating LLM-based forecasting models on non-binary… See the full description on the dataset page: https://huggingface.co/datasets/rajatagarwal457/gdelt-forecast-freeform.gdelt-rag-golden-testset-v4
GDELT RAG Golden Test Set
Dataset Description
This dataset contains a curated set of question-answering pairs designed for evaluating RAG (Retrieval-Augmented Generation)
systems focused on GDELT (Global Database of Events, Language, and Tone) analysis. The dataset was generated using the
RAGAS framework for synthetic test data generation.
Dataset Summary
Total Examples: 12 QA pairs
Purpose: RAG system evaluation
Framework: RAGAS (Retrieval-Augmented… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/gdelt-rag-golden-testset-v4.gdelt-forecast-binary
GDELT-Forecast Binary
1,215 yes/no forecasting questions generated from clusters of news articles in the GDELT 2.0 corpus (Aug 2025 – Apr 2026). Each question is paired with the original seed-event articles, top-5 retrieved evidence articles dated strictly before the question creation date, and a verified ground-truth answer.
Intended use
Training and evaluating LLM-based forecasting models in a strict forecasting posture — the model sees only news that was publicly… See the full description on the dataset page: https://huggingface.co/datasets/rajatagarwal457/gdelt-forecast-binary.gdelt-rag-golden-testset
GDELT RAG Golden Test Set
Dataset Description
This dataset contains a curated set of question-answering pairs designed for evaluating RAG (Retrieval-Augmented Generation)
systems focused on GDELT (Global Database of Events, Language, and Tone) analysis. The dataset was generated using the
RAGAS framework for synthetic test data generation.
Dataset Summary
Total Examples: 12 QA pairs
Purpose: RAG system evaluation
Framework: RAGAS (Retrieval-Augmented… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/gdelt-rag-golden-testset.