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README.md

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+---
+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](https://huggingface.co/datasets/telepix/STELLA) 데이터셋의 HuggingFace-native Parquet 변환 버전입니다.
+
+STELLA는 NASA Technical Reports Server (NTRS) 문서 기반 **항공우주 도메인 Cross-lingual IR 벤치마크**입니다.
+
+## Usage
+
+```python
+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
+
+```bibtex
+@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/STELLA](https://huggingface.co/datasets/telepix/STELLA)의 포맷 변환 버전입니다.
+원본 데이터의 텍스트는 변경 없이 유지되었으며, HuggingFace `load_dataset()` 호환을 위해 Parquet 포맷으로 변환하였습니다.

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