Datasets:
name stringclasses 1
value | description stringclasses 1
value | config stringclasses 1
value | treebank_set stringclasses 1
value | command stringclasses 1
value | source_log stringclasses 1
value | metrics dict |
|---|---|---|---|---|---|---|
UD v2.17 all_focused generalization baseline | Locked 10-fold sentence-level generalization baseline used to contextualize the community release. | configs/sweeps/how_universal-generalization-e5_large-k5-anchor_combined.yaml | all_focused | uv run ud-genre-bootstrap evaluate --config configs/sweeps/how_universal-generalization-e5_large-k5-anchor_combined.yaml --set all_focused --n-folds 10 --group-by language | tee output/logs/all_focused-generalization-e5_large-k10-anchor_combined-baseline.log | output/logs/all_focused-generalization-e5_large-k10-anchor_combined-baseline.log | {
"mean_fold_micro_f1": 0.3901,
"std_fold_micro_f1": 0.1458,
"overall_micro_f1": 0.3333,
"macro_f1": 0.2636,
"mean_fold_macro_f1": 0.3245,
"std_fold_macro_f1": 0.1629,
"purity": 0.5568,
"agreement_treebank": 0.5922,
"overlap_error_treebank": 0.0589,
"missing_anchor_genres": [
"email",
"gover... |
UD Genre Labels ud2.17-full-ud-v1
Derived sentence-level genre annotations for Universal Dependencies treebanks. These labels are produced by the bootstrapping pipeline and are not authoritative gold annotations.
Loading
from datasets import load_dataset
genres = load_dataset(
"commul/ud-genres",
revision="2.17",
split="train",
)
Release Identity
- Artifact ID:
ud2.17-full-ud-v1 - Public revisions:
2.17, ud2.17-full-ud-v1, main - HF repo:
commul/ud-genres - UD version:
2.17 - Scope:
full - Label schema:
ud - Artifact version:
v1 - Git commit:
91637bc4cf34781a55651dee695bf0255ca3021b - Git branch:
release/ud-2.17 - Git tag:
artifact/ud2.17-full-ud-v1 - Config SHA-256:
05ec62ff777d0dd4f6e5314a1905efb553d17c4ff3884e98772a602e6f26edad
Release Configuration
- Config:
2.17-community-release - Run ID:
ud-v2.17-community-release-v1 - UD source:
hf://commul/universal_dependencies - UD source revision:
2.17 - Embeddings:
intfloat/multilingual-e5-large/mean - Clustering:
gmm - Reference weighting:
sentence_count
Output Columns
treebank,split,sent_id: primary join key back to UDgenre: derived sentence labelconfidence: top-1 similarity score for the assigned cluster labelmethod:single-genre-treebank,virtual-split,bootstrap-labeled, orbootstrap-inferred
Evaluation Framing
paper_parityis used only for comparison with the original GMM+L paper protocol.- End-user quality is tracked with sentence-level generalization metrics, which are stricter and more directly relevant for downstream annotation use.
- Known limitation: some paper-era treebank genre inventories are not fully recoverable from current sentence-level metadata subsets.
Locked Baseline
- Overall Acc (Micro-F1):
0.3333 - Macro-F1:
0.2636 - Purity (PUR):
0.5568 - Agreement (AGR):
0.5922 - Overlap Error (ΔBC):
0.0589 - Source:
configs/baselines/2.17-all_focused-generalization-e5_large-k10-anchor_combined.json
Release Summary
- Total sentences:
2198282 - Labeled sentences:
2198282 - Genres exported:
18 - Methods exported:
bootstrap-inferred, single-genre-treebank, virtual-split
Mapping Files
mappings/genre_mappings.json(source:configs/genre_mappings.json, sha256:7efe08d31be2514cc3e7b712012b202442134305139ccfb255f6a4039cc79138)mappings/metadata_patterns.json(source:configs/metadata_patterns.json, sha256:801737b556deefc4a080c17560c6053afef1c9ed9a1097386dde5ac968671795)mappings/pud-patterns.json(source:configs/pud-patterns.json, sha256:fe74e16a5136c37e04415eaaee69521d884f23e9ea6f2e76735b23086c5542ae)
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