datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
orislop-ami-lipsync-data
Orislop AMI lip-sync source data
This repository mirrors an acquisition-capped subset of the official
AMI Meeting Corpus for reproducible
Orislop audio-visual synchronization research.
It contains:
low-size AMI close-up AVI video streams;
corresponding individual headset WAV streams;
SHA-256 provenance records;
the official camera/headset mapping snapshot and generated clip manifests
after local acquisition completes.
Files are uploaded only after a local download finishes and… See the full description on the dataset page: https://huggingface.co/datasets/gonnerthetooner/orislop-ami-lipsync-data.orislop-youtube-prepared-v2
Orislop YouTube prepared v2
This public research dataset contains compact NPZ v2 samples inside uncompressed
WebDataset tar shards. It has 29510 prepared samples from
8698 source videos; 57 sources were
recorded as terminal skips.
Label warning
The real and fake values are trusted scraper assumptions, not independently
verified ground truth. Pre-2021 videos are proxy-real and creator-disclosed altered
videos are proxy-fake. Do not report model agreement as… See the full description on the dataset page: https://huggingface.co/datasets/gonnerthetooner/orislop-youtube-prepared-v2.lily_controlnet_pose_dataset_version2_all_10812_ar_prepared_orisize_promptlistlily_controlnet_pose_dataset_1_8_people_10812_ar_prepared_orisize_promptlist_train_valstrategyqa-ret-robustmeli-sessions-enriched
Meli Sessions Enriched
Session-based recommendation dataset built from the
Meli Data Challenge 2020.
Each row in this dataset is one user session, constructed from the original user_history field
(and, for train, the item_bought field). The goal is to provide a clean, time-aware session dataset
for sequence modeling and next-item prediction.
Source
Original data: Meli Data Challenge 2020 on Kaggle
Author: marlesson
Files used: train_dataset.jl, test_dataset.jl… See the full description on the dataset page: https://huggingface.co/datasets/oristides/meli-sessions-enriched.orislop-youtube-linksorislop-spatial-datasetDescriptive_Sentences_Heorislop-datasetlily_controlnet_pose_dataset_ar_prepared_1_2_orisize_promptlistlily_controlnet_pose_dataset_version2_all_10812_ar_prepared_orisize_promptlist2ori_standard_prompt_completion_rag
Ori Docs RAG — Standard Prompt-Completion
Q/A pairs generated from Ori documentation using a retrieval-augmented pipeline (OpenAI embeddings + GPT-4o) via LlamaIndex. Questions are specific to tasks/commands/steps; answers grounded in retrieved context.
Schema
Each row:
{
"prompt": "",
"completion": ""
}
Usage
from datasets import load_dataset
ds = load_dataset(adrianf12/ori_standard_prompt_completion_rag)
print(len(ds[train]))
print(ds[train][0])
lily_controlnet_pose_dataset_1_8_people_10812_ar_prepared_orisize_promptlist_w_1k_editslily_controlnet_pose_dataset_version2_all_10812_ar_prepared_orisize_promptlist2_train_vallily_controlnet_pose_dataset_1_8_people_10812_ar_prepared_orisize_promptlist_w_seglily_controlnet_pose_dataset_1_8_people_all_version2_all_10812_ar_prepared_orisize_promptlistlily_controlnet_pose_dataset_2_7_people_ar_prepared_orisize_promptlistlily_controlnet_pose_dataset_1_8_people_10812_ar_prepared_orisize_promptlist_w_seg_sample_100