Datasets:
metadata
license: cc-by-4.0
task_categories:
- text-retrieval
language:
- en
- ko
- fr
- id
- ja
- th
- zh
tags:
- BEIR
- aerospace
- cross-lingual
- information-retrieval
- STELLA
- NASA
- NTRS
pretty_name: STELLA (Parquet)
configs:
- config_name: corpus
data_files:
- split: test
path: data/corpus/*.parquet
- config_name: en-queries
data_files:
- split: test
path: data/en-queries/*.parquet
- config_name: en-qrels
data_files:
- split: test
path: data/en-qrels/*.parquet
- config_name: ko-queries
data_files:
- split: test
path: data/ko-queries/*.parquet
- config_name: ko-qrels
data_files:
- split: test
path: data/ko-qrels/*.parquet
- config_name: fr-queries
data_files:
- split: test
path: data/fr-queries/*.parquet
- config_name: fr-qrels
data_files:
- split: test
path: data/fr-qrels/*.parquet
- config_name: id-queries
data_files:
- split: test
path: data/id-queries/*.parquet
- config_name: id-qrels
data_files:
- split: test
path: data/id-qrels/*.parquet
- config_name: ja-queries
data_files:
- split: test
path: data/ja-queries/*.parquet
- config_name: ja-qrels
data_files:
- split: test
path: data/ja-qrels/*.parquet
- config_name: th-queries
data_files:
- split: test
path: data/th-queries/*.parquet
- config_name: th-qrels
data_files:
- split: test
path: data/th-qrels/*.parquet
- config_name: zh-queries
data_files:
- split: test
path: data/zh-queries/*.parquet
- config_name: zh-qrels
data_files:
- split: test
path: data/zh-qrels/*.parquet
STELLA (Parquet)
telepix/STELLA 데이터셋의 HuggingFace-native Parquet 변환 버전입니다.
STELLA는 NASA Technical Reports Server (NTRS) 문서 기반 항공우주 도메인 Cross-lingual IR 벤치마크입니다.
Usage
from datasets import load_dataset
# Corpus (영어, 2.4M passages)
corpus = load_dataset("datalama/STELLA", "corpus", split="test")
# 한국어 쿼리
ko_queries = load_dataset("datalama/STELLA", "ko-queries", split="test")
# 한국어 qrels
ko_qrels = load_dataset("datalama/STELLA", "ko-qrels", split="test")
Configs
| Config | Split | Rows | Description |
|---|---|---|---|
corpus |
test | 2,405,044 | 영어 corpus (전 언어 공유) |
{{lang}}-queries |
test | 1,000 | 언어별 쿼리 (7개 언어) |
{{lang}}-qrels |
test | 1,000 | 언어별 relevance judgments |
지원 언어: en, ko, fr, id, ja, th, zh
Schema
corpus: _id (str), title (str), text (str)
queries: _id (str), text (str)
qrels: query-id (str), corpus-id (str), score (int)
Cross-lingual Evaluation
STELLA는 비대칭 cross-lingual IR 벤치마크입니다:
- Corpus: 영어 전용 (NASA NTRS 문서)
- Queries: 영어 원본 + 6개 번역 언어
- 평가: 다국어 쿼리 → 영어 corpus 검색
쿼리 유형
- TCQ (Terminology Concordant Query): 기술 용어는 영어 유지, 설명만 번역
- TAQ (Terminology Agnostic Query): 전체를 타겟 언어로 완전 번역
Corpus Categories
| Category | Passages |
|---|---|
| Space Sciences | 539,764 |
| Geosciences | 362,624 |
| Aeronautics | 306,505 |
| Engineering | 292,337 |
| Physics | 242,575 |
| Chemistry and Materials | 225,136 |
| Life Sciences | 197,600 |
| Mathematical/Computer Sciences | 130,214 |
| Astronautics | 97,773 |
| Social/Information Sciences | 10,516 |
Citation
@article{{kim2026stella,
title={{STELLA: Self-Reflective Terminology-Aware Framework for Building an Aerospace Information Retrieval Benchmark}},
author={{Bongmin Kim}},
year={{2026}},
eprint={{2601.03496}},
archivePrefix={{arXiv}},
primaryClass={{cs.IR}}
}}
License
CC-BY-4.0 (원본 STELLA 라이선스 준수)
Source
이 데이터셋은 telepix/STELLA의 포맷 변환 버전입니다.
원본 데이터의 텍스트는 변경 없이 유지되었으며, HuggingFace load_dataset() 호환을 위해 Parquet 포맷으로 변환하였습니다.