| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: test.jsonl |
| - split: dev |
| path: dev.jsonl |
| - split: dev_fewshot |
| path: dev_fewshot.jsonl |
| license: cc-by-nc-sa-4.0 |
| --- |
| |
| # GSI:detect unified multiple-choice dataset |
|
|
| Each JSONL row represents one original GSI:detect text and has this schema: |
|
|
| ```json |
| { |
| "Id": 1, |
| "Question": "...", |
| "Values": {"A": "0", "B": "0.25", "C": "0.5", "D": "0.75", "E": "1", "Correct": "A"}, |
| "Categories": {"A": "role", "B": "personality", "C": "competence", "D": "physical", "E": "sexual", "F": "relational", "Correct": "C"} |
| } |
| ``` |
|
|
| For original rows with `gs_category: "no"`, `Categories` is JSON `null` rather |
| than a seventh category. The `Values` mapping is always A=0, B=0.25, C=0.5, |
| D=0.75, E=1. The category mapping is always A=role, B=personality, |
| C=competence, D=physical, E=sexual, F=relational. |
|
|
| `test.jsonl` contains the original 810 test rows in original order and is |
| assigned IDs 1--810. `dev.jsonl` contains the original 200 development rows in |
| original order and is assigned IDs 811--1010. No items are moved between |
| splits or removed. |
|
|
| `dev_fewshot.jsonl` contains copies of six `dev` items. Its first five items |
| are the first occurrence in the original dev split of each GS value, ordered by |
| value: 0, 0.25, 0.5, 0.75, 1. The corresponding source IDs are |
| GS0516, GS0458, GS0953, GS0432, and GS0414 respectively. The sixth item is |
| GS0479 (GS value 0.5, category `personality`): it is the first original dev |
| item whose non-null category is not represented among the first five items. |
| With a first_n sampler, the Value task therefore uses the first five examples; |
| the Category task filters out the null-category GS0516 item and retains five |
| categorized examples. |
| |
| ## Citation |
| |
| If you use this dataset, please cite: |
| |
| Comandini, Gloria, Manuela Speranza, Sofia Brenna, Davide Testa, Stefania Cavagnoli, and Bernardo Magnini. 2026. "GSI:detect at EVALITA 2026: Overview of the Task on Detecting Gender Stereotypes in Italian." In *Proceedings of the Ninth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2026)*, pages 96–108, Bari, Italy. CEUR Workshop Proceedings. |
| |
| **Official task website:** https://gsi-d-evalita.fbk.eu/ |
| |
| ## Credits |
| |
| EVALITA-LLM dataset adaptation: Pietro Botarelli. |
