| --- |
| pretty_name: STASIS — Semantic Textual Similarity datasets, unified |
| license: other |
| license_name: per-subset |
| task_categories: |
| - sentence-similarity |
| - text-classification |
| language: |
| - en |
| - ar |
| - es |
| - tr |
| tags: |
| - semantic-textual-similarity |
| - sts |
| - sick |
| - clss |
| - semeval |
| - paraphrase |
| - entailment |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: sts2012 |
| data_files: |
| - split: train |
| path: data/sts2012/train.parquet |
| - split: test |
| path: data/sts2012/test.parquet |
| - config_name: sts2013 |
| data_files: |
| - split: test |
| path: data/sts2013/test.parquet |
| - config_name: sts2014 |
| data_files: |
| - split: test |
| path: data/sts2014/test.parquet |
| - config_name: sts2015 |
| data_files: |
| - split: test |
| path: data/sts2015/test.parquet |
| - config_name: sts2016 |
| data_files: |
| - split: test |
| path: data/sts2016/test.parquet |
| - config_name: sts2017 |
| data_files: |
| - split: test |
| path: data/sts2017/test.parquet |
| - config_name: sick |
| data_files: |
| - split: train |
| path: data/sick/train.parquet |
| - split: validation |
| path: data/sick/validation.parquet |
| - split: test |
| path: data/sick/test.parquet |
| - config_name: clss-paragraph2sentence |
| data_files: |
| - split: train |
| path: data/clss-paragraph2sentence/train.parquet |
| - split: validation |
| path: data/clss-paragraph2sentence/validation.parquet |
| - split: test |
| path: data/clss-paragraph2sentence/test.parquet |
| - config_name: clss-sentence2phrase |
| data_files: |
| - split: train |
| path: data/clss-sentence2phrase/train.parquet |
| - split: validation |
| path: data/clss-sentence2phrase/validation.parquet |
| - split: test |
| path: data/clss-sentence2phrase/test.parquet |
| - config_name: clss-phrase2word |
| data_files: |
| - split: train |
| path: data/clss-phrase2word/train.parquet |
| - split: validation |
| path: data/clss-phrase2word/validation.parquet |
| - split: test |
| path: data/clss-phrase2word/test.parquet |
| - config_name: clss-word2sense |
| data_files: |
| - split: train |
| path: data/clss-word2sense/train.parquet |
| - split: validation |
| path: data/clss-word2sense/validation.parquet |
| - split: test |
| path: data/clss-word2sense/test.parquet |
| - config_name: all-sts-en |
| data_files: |
| - split: train |
| path: data/all-sts-en/train.parquet |
| --- |
| |
| # STASIS — Semantic Textual Similarity datasets, unified |
|
|
| Modernised release of the [alvations/stasis](https://github.com/alvations/stasis) collection of Semantic Textual Similarity (STS) shared-task data, repackaged into parquet under one unified schema so every subset can be loaded the same way. |
|
|
| Replaces the original graphlab-based wrappers (graphlab is defunct) with stdlib + pyarrow only. |
|
|
| ## Configs |
|
|
| | Config | Source | Rows | Splits | Score scale | |
| | ---------------------------- | --------------------------------- | -----: | -------------------------- | ----------- | |
| | `sts2012` | SemEval-2012 STS | 5,276 | train (2,212), test (3,064) | 0–5 | |
| | `sts2013` | SemEval-2013 STS | 1,505 | test | 0–5 | |
| | `sts2014` | SemEval-2014 STS | 3,747 | test | 0–5 | |
| | `sts2015` | SemEval-2015 STS | 2,984 | test | 0–5 | |
| | `sts2016` | SemEval-2016 STS | 1,169 | test (gold-scored subset) | 0–5 | |
| | `sts2017` | SemEval-2017 STS (multilingual) | 2,000 | test | — *(scores not released into this repo)* | |
| | `sick` | SICK relatedness | 9,927 | train (4,500), validation (500), test (4,927) | 1–5 | |
| | `clss-paragraph2sentence` | SemEval-2014 CLSS | 1,034 | train (500), validation (34), test (500) | 0–4 | |
| | `clss-sentence2phrase` | SemEval-2014 CLSS | 1,036 | train (500), validation (36), test (500) | 0–4 | |
| | `clss-phrase2word` | SemEval-2014 CLSS | 1,038 | train (500), validation (38), test (500) | 0–4 | |
| | `clss-word2sense` | SemEval-2014 CLSS | 1,048 | train (500), validation (48), test (500) | 0–4 | |
| | `all-sts-en` | concat of `sts2012`–`sts2016` | 14,681 | train | 0–5 | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # any STS year — same call shape |
| ds = load_dataset("alvations/stasis", "sts2014", split="test") |
| print(ds[0]) |
| # {'sent1': '...', 'sent2': '...', 'score': 4.4, 'year': 2014, ...} |
| |
| # all English STS in one go |
| ds_all = load_dataset("alvations/stasis", "all-sts-en", split="train") |
| print(len(ds_all)) # 14681 |
| |
| # SICK with entailment labels |
| sick = load_dataset("alvations/stasis", "sick", split="test") |
| print(sick[0]["entailment"]) # 'NEUTRAL' / 'ENTAILMENT' / 'CONTRADICTION' |
| |
| # multilingual STS 2017 (Arabic, Spanish, English, Turkish pairs) |
| sts17 = load_dataset("alvations/stasis", "sts2017", split="test") |
| print(sts17[0]["lang1"], sts17[0]["lang2"]) # e.g. 'ar' 'en' |
| ``` |
|
|
| ## Unified schema |
|
|
| All configs share one schema — makes cross-subset comparison trivial: |
|
|
| | Column | Type | Description | |
| | ------------ | ------- | ----------- | |
| | `sent1` | string | First segment (sentence, phrase, or word — depends on subset). | |
| | `sent2` | string | Second segment. | |
| | `score` | float32 | Gold similarity score. Scale depends on subset (STS 0–5, SICK 1–5, CLSS 0–4). Null where unreleased (e.g. STS2017 in this repo). | |
| | `year` | int32 | Dataset year (2012–2017). SICK = 2014, CLSS = 2014. | |
| | `subset` | string | Sub-source within the year (`MSRpar`, `headlines`, `deft-news`, `track1.ar-ar`, `paragraph2sentence`, …). | |
| | `split` | string | `"train"` / `"validation"` / `"test"`. | |
| | `lang1` | string | ISO-2 language code of `sent1`. Always `en` except STS2017. | |
| | `lang2` | string | ISO-2 language code of `sent2`. | |
| | `pair_id` | string | Upstream pair identifier (SICK pair_ID; CLSS pair id). Null elsewhere. | |
| | `entailment` | string | SICK only: `NEUTRAL` / `ENTAILMENT` / `CONTRADICTION`. Null elsewhere. | |
| |
| ## Notes on individual configs |
| |
| - **STS 2012**: includes the official train split (MSRpar, MSRvid, SMTeuroparl) plus the gold test set with the surprise domains (OnWN, SMTnews). |
| - **STS 2013–2015**: test/gold splits only — those years didn't release new training data. |
| - **STS 2016**: the upstream STS2016 input file has 9,183 sentence pairs but only 1,169 carry gold scores (the rest were unannotated test material). The unannotated rows are dropped here. |
| - **STS 2017**: multilingual tracks (`ar-ar`, `ar-en`, `es-es`, `es-en` ×2, `en-en`, `tr-en`). Each row stores the original-language sentences in `sent1`/`sent2`; English translations from the upstream `sts2017.csv` are not surfaced as a separate column (open issue if you'd like them). |
| - **SICK**: standard 4,500 / 500 / 4,927 split; `entailment` column carries the entailment judgment alongside the relatedness score. |
| - **CLSS**: 4 cross-lexical-level configs from SemEval-2014 Task 3. For `clss-word2sense`, `sent1` is `word#pos` and `sent2` is the WordNet sense's human-readable form (the raw `sense_id` is in the upstream input but elided here — file a request if you need it). |
|
|
| ## Modernisation notes (vs upstream) |
|
|
| This release rebuilds the data with: |
|
|
| - pure stdlib + pyarrow (no `graphlab` / `turicreate` — both defunct); |
| - single unified parquet schema across every subset; |
| - explicit `lang1`/`lang2`/`split`/`subset` columns instead of relying on tabular conventions; |
| - empty-score rows from the upstream `sts.csv` (STS2016 unannotated subset) dropped, with the count tracked above; |
| - one HF config per source year + a `default`-style `all-sts-en` aggregate. |
|
|
| The source files were not modified — the parquet shards are a faithful flatten of the upstream `sts.csv` and per-subset folders. |
|
|
| ## Citations |
|
|
| Cite the original tasks alongside this repackaging. The most important ones: |
|
|
| ```bibtex |
| @inproceedings{agirre-etal-2012-semeval, |
| title = {{S}em{E}val-2012 Task 6: A Pilot on Semantic Textual Similarity}, |
| author = {Agirre, Eneko and Cer, Daniel and Diab, Mona and Gonzalez-Agirre, Aitor}, |
| booktitle = {SemEval-2012}, |
| year = {2012}, |
| } |
| |
| @inproceedings{agirre-etal-2013-sem, |
| title = {*{SEM} 2013 shared task: Semantic Textual Similarity}, |
| author = {Agirre, Eneko and Cer, Daniel and Diab, Mona and Gonzalez-Agirre, Aitor and Guo, Weiwei}, |
| booktitle = {*SEM 2013}, |
| year = {2013}, |
| } |
| |
| @inproceedings{agirre-etal-2014-semeval, |
| title = {{S}em{E}val-2014 Task 10: Multilingual Semantic Textual Similarity}, |
| author = {Agirre, Eneko and Banea, Carmen and Cardie, Claire and Cer, Daniel and Diab, Mona and Gonzalez-Agirre, Aitor and Guo, Weiwei and Mihalcea, Rada and Rigau, German and Wiebe, Janyce}, |
| booktitle = {SemEval-2014}, |
| year = {2014}, |
| } |
| |
| @inproceedings{agirre-etal-2015-semeval, |
| title = {{S}em{E}val-2015 Task 2: Semantic Textual Similarity, {E}nglish, {S}panish and Pilot on Interpretability}, |
| author = {Agirre, Eneko and others}, |
| booktitle = {SemEval-2015}, |
| year = {2015}, |
| } |
| |
| @inproceedings{agirre-etal-2016-semeval, |
| title = {{S}em{E}val-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation}, |
| author = {Agirre, Eneko and Banea, Carmen and Cer, Daniel and Diab, Mona and Gonzalez-Agirre, Aitor and Mihalcea, Rada and Rigau, German and Wiebe, Janyce}, |
| booktitle = {SemEval-2016}, |
| year = {2016}, |
| } |
| |
| @inproceedings{cer-etal-2017-semeval, |
| title = {{S}em{E}val-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation}, |
| author = {Cer, Daniel and Diab, Mona and Agirre, Eneko and Lopez-Gazpio, I{\~n}igo and Specia, Lucia}, |
| booktitle = {SemEval-2017}, |
| year = {2017}, |
| } |
| |
| @inproceedings{marelli-etal-2014-sick, |
| title = {A {SICK} cure for the evaluation of compositional distributional semantic models}, |
| author = {Marelli, Marco and Menini, Stefano and Baroni, Marco and Bentivogli, Luisa and Bernardi, Raffaella and Zamparelli, Roberto}, |
| booktitle = {LREC 2014}, |
| year = {2014}, |
| } |
| |
| @inproceedings{jurgens-etal-2014-semeval, |
| title = {{S}em{E}val-2014 Task 3: Cross-Level Semantic Similarity}, |
| author = {Jurgens, David and Pilehvar, Mohammad Taher and Navigli, Roberto}, |
| booktitle = {SemEval-2014}, |
| year = {2014}, |
| } |
| ``` |
|
|
| If you want to cite the wrapper itself, the [STASIS repo](https://github.com/alvations/stasis) suggests citing: |
|
|
| ```bibtex |
| @inproceedings{han-etal-2015-samsung, |
| title = {Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity}, |
| author = {Han, Lushan and Kashyap, Abhay L. and Finin, Tim and Mayfield, James and Weese, Jonathan and others}, |
| booktitle = {*SEM 2015}, |
| url = {http://www.aclweb.org/anthology/S15-2015}, |
| year = {2015}, |
| } |
| ``` |
|
|
| ## License |
|
|
| Each subset inherits its upstream license: |
|
|
| - **STS 2012–2017**: research use as released by the SemEval organisers. |
| - **SICK**: CC BY-NC-SA 3.0. |
| - **CLSS**: research use as released by the SemEval-2014 Task 3 organisers. |
|
|
| This repackaging adds no additional restrictions but downstream users must respect the per-subset terms. |
|
|
