Add dataset card

README.md

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+---
+pretty_name: CWI 2018 — Complex Word Identification Shared Task
+license: other
+license_name: cwi-2018-shared-task
+license_link: https://sites.google.com/view/cwisharedtask2018/
+task_categories:
+  - token-classification
+  - text-classification
+language:
+  - en
+  - de
+  - es
+  - fr
+tags:
+  - complex-word-identification
+  - cwi
+  - lexical-simplification
+  - readability
+  - bea-2018
+  - shared-task
+size_categories:
+  - 10K<n<100K
+configs:
+  - config_name: english-news
+    data_files:
+      - split: train
+        path: data/english-news/train.parquet
+      - split: validation
+        path: data/english-news/validation.parquet
+      - split: test
+        path: data/english-news/test.parquet
+  - config_name: english-wikinews
+    data_files:
+      - split: train
+        path: data/english-wikinews/train.parquet
+      - split: validation
+        path: data/english-wikinews/validation.parquet
+      - split: test
+        path: data/english-wikinews/test.parquet
+  - config_name: english-wikipedia
+    data_files:
+      - split: train
+        path: data/english-wikipedia/train.parquet
+      - split: validation
+        path: data/english-wikipedia/validation.parquet
+      - split: test
+        path: data/english-wikipedia/test.parquet
+  - config_name: german
+    data_files:
+      - split: train
+        path: data/german/train.parquet
+      - split: validation
+        path: data/german/validation.parquet
+      - split: test
+        path: data/german/test.parquet
+  - config_name: spanish
+    data_files:
+      - split: train
+        path: data/spanish/train.parquet
+      - split: validation
+        path: data/spanish/validation.parquet
+      - split: test
+        path: data/spanish/test.parquet
+  - config_name: french
+    data_files:
+      - split: test
+        path: data/french/test.parquet
+---
+
+# CWI 2018 — Complex Word Identification Shared Task
+
+Repackaged release of the **Complex Word Identification (CWI) Shared Task 2018** corpus (BEA-13 @ NAACL 2018), converted from the original TSV distribution into parquet with a unified schema across all four languages.
+
+The shared task asks systems to predict whether a target word/phrase in context would be hard to understand for non-native speakers, children, or readers with language disabilities. It supports both a **binary** classification task (complex vs. simple) and a **probabilistic** task (proportion of annotators marking the target as difficult).
+
+## Configs
+
+| Config              | Language | Source                  | Train  | Validation | Test  |
+| ------------------- | -------- | ----------------------- | ------ | ---------- | ----- |
+| `english-news`      | en       | Professionally edited news | 14,002 | 1,764 | 2,095 |
+| `english-wikinews`  | en       | WikiNews articles       | 7,746  | 870        | 1,287 |
+| `english-wikipedia` | en       | English Wikipedia       | 5,551  | 694        | 870   |
+| `german`            | de       | German Wikipedia        | 6,151  | 795        | 959   |
+| `spanish`           | es       | Spanish Wikipedia       | 13,750 | 1,622      | 2,233 |
+| `french`            | fr       | French Wikipedia        | —      | —          | 2,251 |
+
+French is the cross-lingual zero-shot track: test only, no training data.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("alvations/complex-word-id-2018", "english-news")
+print(ds["train"][0])
+# {'hit_id': '3P7RGTLO6EE07HLUVDKKHS6O7CCKA5',
+#  'sentence': 'The barren islands, reefs and coral outcrops ...',
+#  'start_offset': 4, 'end_offset': 10, 'target': 'barren',
+#  'native_annotators': 10, 'non_native_annotators': 10,
+#  'native_complex': 6, 'non_native_complex': 2,
+#  'label_binary': 1, 'label_prob': 0.4, 'language': 'en'}
+
+# Cross-lingual eval on French
+fr = load_dataset("alvations/complex-word-id-2018", "french", split="test")
+```
+
+## Schema
+
+All configs share one schema. Test splits have null label fields (gold labels were never released publicly with the test inputs — only the shared-task organisers held them).
+
+| Column                   | Type    | Description |
+| ------------------------ | ------- | ----------- |
+| `hit_id`                 | string  | MTurk HIT identifier — sentences sharing a HIT were annotated together in one screen. |
+| `sentence`               | string  | The full sentence containing the target. |
+| `start_offset`           | int32   | Character offset where the target begins in `sentence`. |
+| `end_offset`             | int32   | Character offset where the target ends (exclusive). |
+| `target`                 | string  | The candidate complex word or multiword expression. |
+| `native_annotators`      | int32   | Number of native-speaker annotators who saw the sentence. |
+| `non_native_annotators`  | int32   | Number of non-native annotators who saw the sentence. |
+| `native_complex`         | int32?  | Native annotators who marked the target as difficult. (null in test) |
+| `non_native_complex`     | int32?  | Non-native annotators who marked the target as difficult. (null in test) |
+| `label_binary`           | int32?  | 0 = simple (no annotator marked it complex); 1 = complex (≥1 annotator marked it). (null in test) |
+| `label_prob`             | float32?| Probability label = `(native_complex + non_native_complex) / (native_annotators + non_native_annotators)`. (null in test) |
+| `language`               | string  | ISO 639-1 language code (`en`, `de`, `es`, `fr`). |
+
+### Annotation protocol
+
+- **English**: each sentence annotated by 10 native + 10 non-native speakers.
+- **German / Spanish / French**: each sentence annotated by 10 annotators (mixed native + non-native). The `native_annotators` and `non_native_annotators` columns reflect the actual split per sentence (and do not always sum to 10 across all rows due to the shared-task's annotator-pooling).
+
+Annotators saw paragraph context around each sentence and were asked to mark words likely to be hard for children, non-native speakers, or readers with language disabilities.
+
+## Tasks
+
+- **Binary CWI**: predict `label_binary`. Standard metric: macro-F1.
+- **Probabilistic CWI**: predict `label_prob` ∈ [0, 1]. Standard metric: MAE.
+- **Cross-lingual transfer**: train on `english-*` / `german` / `spanish`, evaluate on `french` (no French training data exists).
+
+## Sources
+
+- **English (news / wikinews / wikipedia)**: a mix of professionally-edited news articles, WikiNews articles, and English Wikipedia.
+- **German**: German Wikipedia.
+- **Spanish**: Spanish Wikipedia.
+- **French**: French Wikipedia (test-only, for cross-lingual evaluation).
+
+## Citation
+
+Primary citation — the shared task report ([W18-0507](https://aclanthology.org/W18-0507/)):
+
+```bibtex
+@inproceedings{yimam-etal-2018-report,
+    title     = "A Report on the Complex Word Identification Shared Task 2018",
+    author    = "Yimam, Seid Muhie  and
+                 Biemann, Chris  and
+                 Malmasi, Shervin  and
+                 Paetzold, Gustavo  and
+                 Specia, Lucia  and
+                 {\v{S}}tajner, Sanja  and
+                 Tack, Ana{\"\i}s  and
+                 Zampieri, Marcos",
+    booktitle = "Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications",
+    month     = jun,
+    year      = "2018",
+    address   = "New Orleans, Louisiana",
+    publisher = "Association for Computational Linguistics",
+    url       = "https://aclanthology.org/W18-0507/",
+    doi       = "10.18653/v1/W18-0507",
+    pages     = "66--78",
+}
+```
+
+Underlying corpora — please also cite the dataset papers the shared task drew on:
+
+**English (News / WikiNews / Wikipedia)** — [I17-2068](https://aclanthology.org/I17-2068/):
+
+```bibtex
+@inproceedings{yimam-etal-2017-cwig3g2,
+    title     = "{CWIG}3{G}2 - Complex Word Identification Task across Three Text Genres and Two User Groups",
+    author    = "Yimam, Seid Muhie  and
+                 {\v{S}}tajner, Sanja  and
+                 Riedl, Martin  and
+                 Biemann, Chris",
+    booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
+    month     = nov,
+    year      = "2017",
+    address   = "Taipei, Taiwan",
+    publisher = "Asian Federation of Natural Language Processing",
+    url       = "https://aclanthology.org/I17-2068/",
+    pages     = "401--407",
+}
+```
+
+**German / Spanish / French (multilingual)** — RANLP 2017, [R17-1104](https://aclanthology.org/R17-1104/):
+
+```bibtex
+@inproceedings{yimam-etal-2017-multilingual,
+    title     = "Multilingual and Cross-Lingual Complex Word Identification",
+    author    = "Yimam, Seid Muhie  and
+                 {\v{S}}tajner, Sanja  and
+                 Riedl, Martin  and
+                 Biemann, Chris",
+    booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017",
+    year      = "2017",
+    address   = "Varna, Bulgaria",
+    url       = "https://aclanthology.org/R17-1104/",
+}
+```
+
+## Organisers (original shared task)
+
+Sanja Štajner (Mannheim), Chris Biemann (Hamburg), Shervin Malmasi (Harvard Medical School), Gustavo Paetzold (Sheffield), Lucia Specia (Sheffield), Anaïs Tack (UCLouvain / KU Leuven), Seid Muhie Yimam (Hamburg), Marcos Zampieri (Wolverhampton).
+
+Contact: sanja (at) informatik (dot) uni-mannheim (dot) de
+
+## Licensing
+
+The CWI 2018 shared task data was distributed by the organisers for research use; no explicit redistribution license was attached to the original release. The source text is drawn from English Wikipedia and WikiNews (CC BY-SA 3.0 / CC BY 2.5), German / Spanish / French Wikipedia (CC BY-SA 3.0), and professionally-edited news articles. Downstream users should respect the licenses of the underlying source material and cite the shared task paper.
+
+## Provenance of this release
+
+- Source archives: `CWI 2018 Training Set.zip` and `CWI 2018 Test Set.zip` as distributed by the shared task organisers.
+- Conversion: TSV columns mapped 1:1 into parquet with explicit pyarrow schema; row order preserved within each file; no row filtering, deduplication, or text normalisation applied.
+- Mirror of the raw zips: [alvations/stash · cwi-2018/](https://huggingface.co/datasets/alvations/stash/tree/main/cwi-2018).