datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bge-m3-lemur-r1This dataset contains training passages from G4KMU/LEMUR paired with GPT-5.4 generated queries and mined hard negatives.
bge-m3-lemur-r3HakHukuk-mevzuat-bge-m3-s2
HakHukuk — Mevzuat Arama İndeksi (bge-m3, şema s2)
Bu, bge-m3 yoğun gömme + BM25 hibrit arama indeksinin gömme matrisidir. HakHukuk hukuk
asistanının retriever katmanı, sorguyu ve mevzuat maddelerini bu indeksle eşleştirir.
İçerik
Bu depoda yalnızca şu iki dosya vardır — başka bir şey yoktur:
dosya
bayt
sha256
gomme.npy
82.935.936
16f54cab972eaccb4b30143a70d728faca07253385ce75d5455b4b407a62bedc
KUNYE.json
2.354… See the full description on the dataset page: https://huggingface.co/datasets/Rfetha/HakHukuk-mevzuat-bge-m3-s2.wikipedia-2024-06-bge-m3-faiss-ivfarxiv-cs2021-embeddings-bge-m3tinycompany__ShawtyIsBad-bgem3-details
Dataset Card for Evaluation run of tinycompany/ShawtyIsBad-bgem3
Dataset automatically created during the evaluation run of model tinycompany/ShawtyIsBad-bgem3
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/tinycompany__ShawtyIsBad-bgem3-details.time-embed-bge-m3
Korean Temporal Query Embedding Data for BGE-M3 - v1.9 Semantic Retention
This dataset is a FlagEmbedding/BGE-M3 fine-tuning dataset for Korean LMS temporal retrieval.
The objective is to keep semantically equivalent Korean temporal expressions close in embedding space while separating Korean expressions that look similar but mean different time ranges. The root files now point to the v1.9 training dataset.
What v1.9 Adds
v1.9 keeps the v1.7 calendar-focused… See the full description on the dataset page: https://huggingface.co/datasets/kev-KOH/time-embed-bge-m3.anssi-bge-m3-embeddings
ANSSI cybersecurity guides — BGE-M3 embeddings
Semantic embeddings of 11 ANSSI (French national cybersecurity agency)
guides, produced by the open-source project
llm-verification-harness.
Project positioning. Transpose aerospace/defense IVVQ
(Integration, Verification, Validation, Qualification) practices to
non-deterministic RAG/LLM systems. The project's signature deliverable
is a Verification Control Document auto-generated per run (Brique 7).
This dataset is an intermediate… See the full description on the dataset page: https://huggingface.co/datasets/adriencr81/anssi-bge-m3-embeddings.tinycompany__SigmaBoi-bgem3-details
Dataset Card for Evaluation run of tinycompany/SigmaBoi-bgem3
Dataset automatically created during the evaluation run of model tinycompany/SigmaBoi-bgem3
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/tinycompany__SigmaBoi-bgem3-details.tinycompany__SigmaBoi-bge-m3-details
Dataset Card for Evaluation run of tinycompany/SigmaBoi-bge-m3
Dataset automatically created during the evaluation run of model tinycompany/SigmaBoi-bge-m3
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/tinycompany__SigmaBoi-bge-m3-details.