datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dllm-effect-parents-w128-tau2-half-v2
Deprecated — do not use
The payload on this repository's main branch was removed on 2026-09-19.
It used the superseded pre-fix counterfactual dependency construction
(manifest.json SHA-256 678fc4069de11c941120e3bfe431857ea15d70b8a02bde34a1e5091ad82f0888) and is not the corrected
d1-marginal graph.
Use the corrected canonical B64 replacement:
zimplex/dllm-effect-parents-llada2-finemath-half-d1marginal-w128-tau2-b64-v3
(manifest… See the full description on the dataset page: https://huggingface.co/datasets/zimplex/dllm-effect-parents-w128-tau2-half-v2.Effective_prompts_for_scraping_AI_data_to_train_another_modelEffective prompts for scraping AI data to train another model !
nmt-pe-effects
Neural Machine Translation Quality and Post-Editing Performance
This is a repository for an experiment relating NMT quality and post-editing efforts, presented at EMNLP2021 (presentation recording).
Please cite the following paper when you use this research:
@inproceedings{zouhar2021neural,
title={Neural Machine Translation Quality and Post-Editing Performance},
author={Zouhar, Vil{\'e}m and Popel, Martin and Bojar, Ond{\v{r}}ej and Tamchyna, Ale{\v{s}}}… See the full description on the dataset page: https://huggingface.co/datasets/zouhar/nmt-pe-effects.batch-effects-leaderboard-resultsrepro-mm-deepresearch-a-simple-and-effective-multimodal-agentic-search-baseline-traces
Agent traces
Agent sessions published from a Trackio Logbook.
tls-certificate-requirement-effective-dates
TLS certificate and CA requirement effective dates (CA/Browser Forum, Chrome, Mozilla)
Canonical, always-current version: https://referencesource.org/tls-certificate-requirement-effective-dates/
Machine-readable: https://referencesource.org/tls-certificate-requirement-effective-dates/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-05
Stale after: 2026-11-03 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/tls-certificate-requirement-effective-dates.federal-rules-taking-effect
Federal rules taking effect: every published US final rule whose effective date is still in the future
Canonical, always-current version: https://referencesource.org/federal-rules-taking-effect/
Machine-readable: https://referencesource.org/federal-rules-taking-effect/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-10
Stale after: 2026-08-24 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 234… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/federal-rules-taking-effect.jp-effective-instructionsoasst1-89k-ja , databricks-dolly-15k-ja , hh-rlhf-49k-ja の中から JGLUE（ JcommonsenseQA , MARC-ja , JSQuAD ）の観点で高品質なデータセットに絞り込んだデータセットです。
品質スコアリングの詳細はこちらを参考にして下さい。https://qiita.com/kunishou/items/efd9f68d6aa86d56dc73
データセットの構成とライセンスは以下の通りになります。
dataset
num records
liscence
oasst1-89k-ja
4,204
Apache 2.0
databricks-dolly-15k-ja
282
CC-BY-SA-3.0
hh-rlhf-49k-ja
989
MIT
※ ライセンスはオリジナルのデータセットのライセンスに従います。
supplement-effects-and-interactions
SuppLLMent: A Benchmark for Evidence-Based Supplement Knowledge in LLMs
Dataset Description
SuppLLMent is a structured dataset for evaluating large language models on supplement effectiveness knowledge. It contains 8,417 supplement-condition effectiveness facts and 5,884 drug-supplement interaction warnings extracted from publicly available consumer health resources.
Dataset Summary
This dataset enables systematic benchmarking of how well LLMs encode… See the full description on the dataset page: https://huggingface.co/datasets/daveferbear/supplement-effects-and-interactions.fertility_env_factors_effect_factsheets_eshre
Dataset Card for fertility_env_factors_effect_factsheets_eshre
Dataset Summary
fertility_env_factors_effect_factsheets_eshre is a structured question–answer dataset derived from publicly available ESHRE (European Society of Human Reproduction and Embryology) patient factsheets describing how environmental and lifestyle factors influence fertility.
The dataset converts evidence-based educational material into clear patient-style questions and clinically aligned answers… See the full description on the dataset page: https://huggingface.co/datasets/Khyatimirani/fertility_env_factors_effect_factsheets_eshre.random_effect_exampleaffelnet-paris-lycees-effectifs-2nde
Effectifs de 2nde GT des lycées Affelnet de Paris
Ce dataset liste les 42 lycées publics de l'académie de Paris éligibles à
Affelnet (offre de 2nde générale et technologique en filière classique) avec
leur capacité d'accueil en 2nde GT pour la rentrée scolaire 2025-2026.
C'est la liste de référence des lycées concernés par la procédure Affelnet
Paris : tous les autres datasets affelnet-paris-lycees-* doivent être
restreints à ce périmètre pour rester cohérents.
Source… See the full description on the dataset page: https://huggingface.co/datasets/fgaume/affelnet-paris-lycees-effectifs-2nde.forbidden-bishop-effectPlease message or write for removal.
No infrigement is intended. All the content was scraped from the open-web and is structured to allow for the next generation of academic LLM data generation tasks.
no-constraint-effect-scoreFinsights-Grey-RAG-Effective-Information-Retrieval-logsEffect-descriptionaffelnet-paris-colleges-effectifs-3eme
Effectifs de 3ème des collèges publics de Paris
Ce dataset liste les 114 collèges publics de l'académie de Paris avec leur
effectif d'élèves de 3ème pour la rentrée scolaire 2025-2026.
Ces effectifs servent de pondération naturelle pour toutes les analyses Affelnet
qui doivent raisonner par élève (et non par collège), notamment :
pondération des distributions d'IPS par effectif d'élèves,
estimation du nombre d'élèves concernés par un seuil de bonus IPS,
calcul d'un nombre moyen… See the full description on the dataset page: https://huggingface.co/datasets/fgaume/affelnet-paris-colleges-effectifs-3eme.constraint-effect-scorescala-learning-cats-effectcountdown_val__highly_effective_stars