datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cs-envi-dual-encoder-60modernbert_encoder_sp_seq_512_csedm_fold1SciBench_Mathmodernbert_encoder_sp_seq_512_dbe22kt_fold1AutoMoT-PDM-Lite-BEV-Encoder-Indexes
AutoMoT PDM-Lite BEV Encoder Indexes
This dataset provides the prepared PDM-Lite JSONL indexes for AutoMoT training.
Files
pdm_lite_2hz_2tp_train_bev_encoder.jsonl
pdm_lite_2hz_2tp_val_bev_encoder.jsonl
Each row contains four historical front-camera paths in image, the current
front-camera path in front, trajectory and route supervision, future-speed
supervision, and a reference to the precomputed current-frame BEV feature:
bev_encoder_feature… See the full description on the dataset page: https://huggingface.co/datasets/HqH1111/AutoMoT-PDM-Lite-BEV-Encoder-Indexes.arxiv-hard-negatives-cross-encoderThis dataset contains hard negative examples generated using cross-encoders for training dense retrieval models.
@misc{reimers2019sentencebertsentenceembeddingsusing,
title={Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks},
author={Nils Reimers and Iryna Gurevych},
year={2019},
eprint={1908.10084},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/1908.10084},
}
training_setting_burnt_unet_and_text_encoderGPT3-Token-Encoderdataset_cross_encoder_geotechnical_report_v1.0.0
Geotechnical Reports
msmarco_hard_negatives_cross-encoderThe data was used in the paper Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval.
Hard-Negatives generated by a cross-encoder using 10,000 passages from the MS-Marco dataset
If this dataset was useful consider citing us :)
@misc{sinha2025dontretrievegenerateprompting,
title={Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval},
author={Aarush Sinha},
year={2025},
eprint={2504.21015}… See the full description on the dataset page: https://huggingface.co/datasets/chungimungi/msmarco_hard_negatives_cross-encoder.ms-marco-cross-encoder-hard-negativesrelational_encodergsm8k-basin-encoder