Upload AuthBench dataset export

.gitattributes

@@ -58,3 +58,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+dev/candidates.jsonl filter=lfs diff=lfs merge=lfs -text
+dev/documents.jsonl filter=lfs diff=lfs merge=lfs -text
+test/candidates.jsonl filter=lfs diff=lfs merge=lfs -text
+test/documents.jsonl filter=lfs diff=lfs merge=lfs -text
+train/candidates.jsonl filter=lfs diff=lfs merge=lfs -text
+train/documents.jsonl filter=lfs diff=lfs merge=lfs -text
+train/ground_truth.jsonl filter=lfs diff=lfs merge=lfs -text
+train/queries.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,261 @@
+---
+pretty_name: AuthBench
+license: other
+language:
+- ar
+- de
+- en
+- es
+- fr
+- hi
+- ja
+- ko
+- ru
+- zh
+multilinguality: multilingual
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: documents
+  default: true
+  data_files:
+  - split: train
+    path: train/documents.jsonl
+  - split: dev
+    path: dev/documents.jsonl
+  - split: test
+    path: test/documents.jsonl
+- config_name: queries
+  data_files:
+  - split: train
+    path: train/queries.jsonl
+  - split: dev
+    path: dev/queries.jsonl
+  - split: test
+    path: test/queries.jsonl
+- config_name: candidates
+  data_files:
+  - split: train
+    path: train/candidates.jsonl
+  - split: dev
+    path: dev/candidates.jsonl
+  - split: test
+    path: test/candidates.jsonl
+- config_name: ground_truth
+  data_files:
+  - split: train
+    path: train/ground_truth.jsonl
+  - split: dev
+    path: dev/ground_truth.jsonl
+  - split: test
+    path: test/ground_truth.jsonl
+---
+
+# AuthBench
+
+AuthBench is a multilingual benchmark for authorship representation across languages, genres, and document lengths. It supports:
+
+- authorship attribution as open-world same-author retrieval
+- authorship verification as same-author binary decision
+
+This Hub export contains the full mixed-source AuthBench folder, including sources that the current paper classifies as Tier B / manifest-only from a redistribution standpoint.
+
+## Release Summary
+
+- Release mode: `full`
+- Documents: 428,150
+- Authors: 153,825
+- Queries: 198,345
+- Candidates: 229,805
+- Ground-truth rows: 198,345
+- Languages: 10
+
+## Included Sources
+
+- `amazon_multi`: 4,924 documents
+- `arabic_poetry`: 2,503 documents
+- `arxiv`: 1,784 documents
+- `babel_briefings`: 73,676 documents (CC BY-NC-SA 4.0)
+- `blog_authorship`: 22,494 documents
+- `douban`: 10,424 documents
+- `exorde`: 94,231 documents (MIT)
+- `french_pd_books`: 8,761 documents (Public domain)
+- `german_pd`: 8,400 documents (Public domain)
+- `hindi_discourse`: 213 documents
+- `project_gutenberg`: 18,739 documents
+- `russian_pd`: 12,728 documents (Public domain)
+- `spanish_pd_books`: 4,961 documents (Public domain)
+- `stackexchange`: 4,651 documents (CC BY-SA (version depends on post date))
+- `wikisource`: 78,984 documents
+- `xiaohongshu`: 8,869 documents
+- `ytcomments`: 71,808 documents
+
+## Excluded Sources
+
+- None
+
+## Repository Layout
+
+This dataset repository exposes four dataset configurations:
+
+- `documents`: union of the query and candidate documents for each split
+- `queries`: query-side records used for retrieval / verification evaluation
+- `candidates`: candidate-side records used for retrieval / verification evaluation
+- `ground_truth`: mapping from `query_id` to its same-author `positive_ids`
+
+Each configuration has `train`, `dev`, and `test` splits.
+
+## Load with `datasets`
+
+```python
+from datasets import load_dataset
+
+documents = load_dataset("YOUR_HF_NAMESPACE/AuthBench", "documents", split="train")
+queries = load_dataset("YOUR_HF_NAMESPACE/AuthBench", "queries", split="test")
+candidates = load_dataset("YOUR_HF_NAMESPACE/AuthBench", "candidates", split="test")
+ground_truth = load_dataset("YOUR_HF_NAMESPACE/AuthBench", "ground_truth", split="test")
+```
+
+## Split Sizes
+
+| Split | Documents | Queries | Candidates | Ground Truth |
+| --- | ---: | ---: | ---: | ---: |
+| train | 342,519 | 156,335 | 186,184 | 156,335 |
+| dev | 42,821 | 21,008 | 21,813 | 21,008 |
+| test | 42,810 | 21,002 | 21,808 | 21,002 |
+
+## Schema
+
+`documents`
+
+```json
+{
+  "doc_id": "mix_009328",
+  "lang": "ar",
+  "genre": "social_media/technology",
+  "content": "...",
+  "source": "exorde",
+  "token_length": 51,
+  "author_id": "...",
+  "retrieval_role": "candidate",
+  "phase": "phase1",
+  "input_split": "dev",
+  "input_doc_type": "query"
+}
+```
+
+`queries`
+
+```json
+{
+  "query_id": "mix_009332",
+  "lang": "ar",
+  "genre": "social_media/entertainment",
+  "content": "...",
+  "source": "exorde",
+  "token_length": 50,
+  "retrieval_role": "query",
+  "phase": "phase1",
+  "input_split": "dev",
+  "input_doc_type": "candidate"
+}
+```
+
+`candidates`
+
+```json
+{
+  "candidate_id": "mix_009328",
+  "lang": "ar",
+  "genre": "social_media/technology",
+  "content": "...",
+  "source": "exorde",
+  "token_length": 51,
+  "author_id": "...",
+  "retrieval_role": "candidate",
+  "phase": "phase1",
+  "input_split": "dev",
+  "input_doc_type": "query"
+}
+```
+
+`ground_truth`
+
+```json
+{
+  "query_id": "mix_009332",
+  "positive_ids": ["mix_009328", "mix_009330", "mix_009329"],
+  "author_id": "..."
+}
+```
+
+## Language Coverage
+
+- `en`: 97,974 documents
+- `ru`: 66,084 documents
+- `zh`: 55,368 documents
+- `ar`: 42,091 documents
+- `de`: 39,813 documents
+- `ko`: 33,881 documents
+- `es`: 33,395 documents
+- `fr`: 31,225 documents
+- `ja`: 21,494 documents
+- `hi`: 6,825 documents
+
+## Source Distribution
+
+| Source | Documents | Share |
+| --- | ---: | ---: |
+| `exorde` | 94,231 | 22.0% |
+| `wikisource` | 78,984 | 18.4% |
+| `babel_briefings` | 73,676 | 17.2% |
+| `ytcomments` | 71,808 | 16.8% |
+| `blog_authorship` | 22,494 | 5.3% |
+| `project_gutenberg` | 18,739 | 4.4% |
+| `russian_pd` | 12,728 | 3.0% |
+| `douban` | 10,424 | 2.4% |
+| `xiaohongshu` | 8,869 | 2.1% |
+| `french_pd_books` | 8,761 | 2.0% |
+| `german_pd` | 8,400 | 2.0% |
+| `spanish_pd_books` | 4,961 | 1.2% |
+| `amazon_multi` | 4,924 | 1.2% |
+| `stackexchange` | 4,651 | 1.1% |
+| `arabic_poetry` | 2,503 | 0.6% |
+| `arxiv` | 1,784 | 0.4% |
+| `hindi_discourse` | 213 | 0.0% |
+
+## Primary Genre Distribution
+
+| Primary Genre | Documents | Share |
+| --- | ---: | ---: |
+| `social_media` | 174,908 | 40.9% |
+| `literature` | 128,395 | 30.0% |
+| `news` | 73,676 | 17.2% |
+| `blog` | 22,494 | 5.3% |
+| `media_reviews` | 10,424 | 2.4% |
+| `poetry` | 6,894 | 1.6% |
+| `ecommerce_reviews` | 4,924 | 1.2% |
+| `qna` | 4,651 | 1.1% |
+| `research_paper` | 1,784 | 0.4% |
+
+## Licensing And Redistribution Notes
+
+This release mixes upstream licenses and platform terms across both Tier A and Tier B sources. The paper explicitly recommends conservative manifest-only handling for several included sources. Do not treat this repository as a blanket relicensing of all component texts.
+
+For the benchmark-wide source inventory and the Tier A / Tier B rationale, see:
+
+- `DATASET.md` in the AuthBench repository
+- `paper/colm_latex.tex`, especially the appendix licensing table
+
+## Caveats
+
+- `queries` intentionally omit `author_id`; the supervision lives in `ground_truth`.
+- `documents` are a convenience union of query and candidate records, not an additional split.
+- `input_split` and `input_doc_type` refer to the record's origin before the final combined export.
+- Source balance is intentionally skewed; the largest sources dominate the benchmark.
+
+## Citation
+
+If you use AuthBench, cite the accompanying manuscript:
+
+`AuthBench: A Large-Scale Multilingual Benchmark for Authorship Representation across Genres and Lengths`

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merge_summary.json

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