datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
javascriptjavascript-mediumreact_reposjavascript-smallMSPL
MSPL Dataset
Dataset for MSPL: Multi-Step Pseudo-Labeling for Open-Vocabulary Object Detection.
Paper: https://arxiv.org/abs/2510.14792
Code: https://github.com/hchoi256/mspl
vietnamese-wiki
Dataset Card for "vietnamese-wiki"
More Information needed
graphcontainer-graphs
GraphContainer Graph Artifacts
Overview
This repository contains preconstructed graph artifacts released with GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG Methods.
Links:
Paper: https://arxiv.org/abs/2607.19362
Hugging Face paper page: https://huggingface.co/papers/2607.19362
Code: https://github.com/asmath472/GraphContainer
YouTube demo: https://youtu.be/O02eNJLwkU0
The Hugging Face datasets interface loads the artifact catalog in… See the full description on the dataset page: https://huggingface.co/datasets/hchaejeong/graphcontainer-graphs.vietnamese-wiki-segmented
Dataset Card for "vietnamese-wiki-segmented"
More Information needed
SoMi-ToM
SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactions
NeurIPS 2025
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SoMi-ToM Benchmark
We propose the SoMi-ToM benchmark, designed to evaluate multi-perspective ToM in embodied multi-agent complex social interactions. This benchmark is based on rich multimodal interaction data generated by the interaction environment SoMi… See the full description on the dataset page: https://huggingface.co/datasets/hch2000/SoMi-ToM.vietnamese-qa-segmented
Dataset Card for "vietnamese-qa-segmented"
More Information needed
code_instructions_120k_alpaca_filteredHC-hate-speech-and-offensive-language
Dataset Card for "HC-hate-speech-and-offensive-language"
More Information needed
items_prompts_liteHC-hate-speech-and-offensive-language
Dataset Card for "HC-hate-speech-and-offensive-language"
More Information needed
codealpaka_20k_filtereditems_prompts_fullspeaking-ratingtoefl_speakingqwen2.5-1.5b-blind-spots
Qwen2.5-1.5B Blind Spots Dataset
Model Tested
Model: Qwen/Qwen2.5-1.5B
Parameters: 1.5 Billion
Type: Base language model (not instruction-tuned)
Release date: Within the last 6 months
How I Loaded the Model
!pip install transformers accelerate -q
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_name = "Qwen/Qwen2.5-1.5B"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(… See the full description on the dataset page: https://huggingface.co/datasets/hchrAsma/qwen2.5-1.5b-blind-spots.