πŸ“Š
Osma Bench Dataset dataset by warmhammer
⭐ 34.4
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Dataset

Osma Bench Dataset

by warmhammer warmhammer/osma-bench_dataset
Free2AITools Nexus Index
34.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 62
P: Popularity 58
R: Recency 30
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 34.4 FNI Score
- Size
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Dataset Information Summary
Entity Passport
Registry ID warmhammer/osma-bench_dataset
License CC-BY-4.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_warmhammer_osma_bench_dataset,
  author = {warmhammer},
  title = {Osma Bench Dataset Dataset},
  year = {2025},
  howpublished = {\url{https://huggingface.co/datasets/warmhammer/OSMa-Bench_dataset}},
  note = {Accessed via Free2AITools.}
}
APA Style
warmhammer. (2025). Osma Bench Dataset [Dataset]. Free2AITools. https://huggingface.co/datasets/warmhammer/OSMa-Bench_dataset

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 62
Popularity (P) 58
Recency (R) 30
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Osma Bench Dataset: Authority (A:62), Popularity (P:58), Recency (R:30), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Downloads
110,436

🎯 Task Categories

robotics image-segmentation image-text-to-text

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Schema structure is shown in the Field Logic panel when available.

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Dataset Specification

OSMa-Bench Dataset

Project Page | Paper | Code

OSMa-Bench pipeline

OSMa-Bench (Open Semantic Mapping Benchmark) dataset is a fully automatically generated dataset for evaluating the robustness of open semantic mapping and segmentation systems under varying indoor lighting conditions and robot movement dynamics. This dataset is part of OSMa-Bench pipeline.

Dataset Summary

This dataset provides simulated RGB-D and semantically annotated posed sequences for evaluation of semantic mapping and segmentation, with a particular focus on handling dynamic lightingβ€”a critical but often overlooked factor in existing benchmarks. It also includes a collection of automatically generated question–answer pairs across multiple categories to support the evaluation of scene-graph–based reasoning, offering a task-driven measure of how well a system’s reconstructed scene captures semantic relationships between objects.

The data is built upon two base datasets:

  • ReplicaCAD: 22 scenes with 4 lighting configurations and a velocity modifier.
  • Habitat Matterport 3D (HM3D): 8 scenes with 2 lighting configurations and a velocity modifier.

Installation

We offer two versions of the dataset: one with separate files and one as a single compressed archive. Use the following command to download the separated files (may be slow):

bash 
git xet install
git clone https://huggingface.co/datasets/warmhammer/OSMa-Bench_dataset -b main

and this command to download the compressed version (faster one):

bash 
git xet install
git clone https://huggingface.co/datasets/warmhammer/OSMa-Bench_dataset -b compressed
unzip data.zip

Data C

Social Proof

HuggingFace Hub
110.4KDownloads
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Source summary: Based on Hugging Face metadata. Not a recommendation.

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πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--warmhammer--osma-bench_dataset
slug
warmhammer--osma-bench_dataset
source
huggingface
author
warmhammer
license
CC-BY-4.0
tags
task_categories:robotics, task_categories:image-segmentation, task_categories:image-text-to-text, license:cc-by-4.0, modality:image, arxiv:2503.10331, region:us

πŸ“Š Engagement & Metrics

downloads
110,436

Data indexed from public sources. Updated daily.