Update README.md

README.md

@@ -1,91 +1,133 @@
 ---
 language:
-- gl
-task_categories:
-- question-answering
-- multiple-choice
-- text-generation
+  - gl
 pretty_name: xstorycloze_gl
-dataset_info:
-  config_name: gl
-  features:
-  - name: InputStoryid
-    dtype: string
-  - name: InputSentence1
-    dtype: string
-  - name: InputSentence2
-    dtype: string
-  - name: InputSentence3
-    dtype: string
-  - name: InputSentence4
-    dtype: string
-  - name: RandomFifthSentenceQuiz1
-    dtype: string
-  - name: RandomFifthSentenceQuiz2
-    dtype: string
-  - name: AnswerRightEnding
-    dtype: int32
-  splits:
-  - name: train
-    num_examples: 360
-  - name: test
-    num_examples: 1511
-configs:
-- config_name: gl
-  data_files:
-  - split: train
-    path: XStoryCloze_train_gl.tsv
-  - split: test
-    path: XStoryCloze_test_gl.tsv
-  default: true
 license: cc-by-4.0
+task_categories:
+  - question-answering
+task_ids:
+  - multiple-choice-qa
+tags:
+  - galician
+  - reading-comprehension
+  - multiple-choice
+  - commonsense-reasoning
+  - narrative-understanding
+  - evaluation
 size_categories:
-- 1K<n<10K
+  - 1K<n<10K
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: "train.csv"
+      - split: test
+        path: "test.csv"
 ---
 
-# Dataset Card for xstorycloze_gl
+# xstorycloze_gl
+
+## Dataset Summary
+
+xstorycloze_gl is a Galician multiple-choice narrative understanding dataset translated from the English StoryCloze dataset.
 
-<!-- Provide a quick summary of the dataset. -->
+Each instance contains a four-sentence story context, two possible endings, and a label indicating which ending is correct. The dataset is intended for evaluating reading comprehension, narrative coherence, and commonsense reasoning in Galician.
 
-xstorycloze_gl is a question answering dataset in Galician, translated from the [English StoryCloze dataset](https://cs.rochester.edu/nlp/rocstories/).
+## Dataset Description
 
-## Dataset Details
+xstorycloze_gl is based on the StoryCloze task, in which a model must choose the correct continuation of a short story. The dataset includes:
 
-### Dataset Description
+- **360** instances in the `train` split
+- **1,511** instances in the `test` split
 
-xstorycloze_gl is based on multiple-choice narrative completions. The dataset consists of 360 instances in the train split and 1511 instances in the test split. Each instance contains a story stem, divided in 4 sentences, 2 possible completions, and the number indicating the correct answer.
+Each example consists of:
 
-- **Curated by:** [Proxecto Nós](https://doagalego.nos.gal/)
-- **Language(s) (NLP):** Galician
-- **License:** [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- a story stem divided into four sentences
+- two candidate endings
+- the index of the correct ending
 
-### Dataset Sources
+The dataset is designed as an evaluation resource for language models and other NLP systems working on Galician narrative understanding.
 
-- **Repository:** [Proxecto NÓS at HuggingFace](https://huggingface.co/proxectonos)
+## Source
 
+This dataset is a Galician translation/adaptation of the English StoryCloze dataset and is distributed by Proxecto Nós through Hugging Face.
 
-## Uses
+### License
 
-xstorycloze_gl is intended to evaluate reading comprehension of language models. Some suitable use cases for the dataset are:
+This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
 
-- Common sense reasoning: xstorycloze_gl contains stories that require basic background knowledge, such as the cost of things or the consequences of social interactions.
-- Casuality understanding: The stories in xstorycloze_gl are full of temporal and causal relationships between events, which requires a coherent way of understanding causality in narratives.
-- Multiple choice test: For each story, xstorycloze_gl has 2 different completions which require reasoning between different options.
-- Reading comprehension: Problems and answers in xstorycloze_gl are formulated in natural language.
+This dataset is a Galician translation/adaptation of StoryCloze and is distributed for research and evaluation purposes. Users are free to share and adapt the material, provided that appropriate credit is given to the dataset creators and to the original source resource when relevant.
 
+## Supported Tasks and Leaderboards
+
+This dataset is suitable for:
+
+- multiple-choice question answering
+- reading comprehension
+- narrative understanding
+- commonsense reasoning
+- evaluation of language models in Galician
 
 ## Dataset Structure
 
-The dataset is provided in CSV format where each row corresponds to a four-sentence story and contains an instance identifier, the story divided in four fields for each sentence, 2 possible completions for the story, and the number - either 1 or 2 - corresponding to the correct completion. Each line contains the following fields:
+The dataset is distributed in **CSV format**.
+
+Each row contains the following fields:
+
+- `InputStoryid`: identifier of the story
+- `InputSentence1`: first sentence of the story
+- `InputSentence2`: second sentence of the story
+- `InputSentence3`: third sentence of the story
+- `InputSentence4`: fourth sentence of the story
+- `RandomFifthSentenceQuiz1`: first possible continuation
+- `RandomFifthSentenceQuiz2`: second possible continuation
+- `AnswerRightEnding`: correct ending, either `1` or `2`
+
+## Example
+
+## Example
+
+| InputStoryid | InputSentence1 | InputSentence2 | InputSentence3 | InputSentence4 | RandomFifthSentenceQuiz1 | RandomFifthSentenceQuiz2 | AnswerRightEnding |
+|-------------|----------------|----------------|----------------|----------------|--------------------------|--------------------------|------------------:|
+| fec30953-c68e-4d9d-9698-384bfe8fe857 | Fíxenme fan de Lei e Orde en 2011. | Estaba a recuperarme dun ataque cerebral. | Cando volvín a casa, tentei ver todos os episodios. | Custoume ver do tirón unha serie que leva 20 anos. | Creo que Lei e Orde é unha das peores series que se fixeron. | Ao final, vinos todos. | 2 |
+| 35146100-1a33-4b70-ab26-4469198f909a | Todo o mundo adoraba a Bob porque interpretaba a un famoso personaxe nunha película. | Bob odiábao porque non se parecía nada ao personaxe. | Jim pediulle a Bob que dixese a frase característica do seu personaxe. | Foi demasiado para Bob e enrabiouse. | Bob díxolle ao home que o deixase só. | Bob pediulle un té ao home. | 1 |
+| 96e98dae-7c2e-4130-b6c2-4912c0e58938 | Lita quería ver o seu programa de televisión favorito. | Os seus fillos insistiron para que sentase a velo con eles. | Lita díxolles que tiña cousas que facer. | Os seus fillos arrastraron a cesta da roupa ata o salón. | Lita pediu unha pizza de salame para comer. | Lita dobrou a bogada mentres miraba a televisión. | 2 |
+
+## Intended Uses
+
+xstorycloze_gl is intended primarily as an evaluation dataset. Suitable use cases include:
+
+- **Reading comprehension**, as both stories and answers are expressed in natural language
+- **Narrative understanding**, since models must identify the most coherent continuation of a story
+- **Commonsense reasoning**, because many stories depend on everyday world knowledge
+- **Causal and temporal reasoning**, as story events often involve implicit cause-effect and temporal relations
+- **Multiple-choice evaluation**, since each item requires choosing between two competing endings
+
+## Limitations
+
+- The dataset is a translation of an English original, so some examples may reflect translation choices rather than native Galician narrative style.
+- It is primarily intended for evaluation, not large-scale training.
+- Because the task is multiple-choice, performance may be affected by answer style or distractor quality in addition to narrative understanding.
+- Some examples may rely on culturally general or language-specific commonsense assumptions inherited from the source dataset.
+
+## Dataset Splits
+
+| Split | Number of instances |
+|-------|--------------------:|
+| Train | 360 |
+| Test  | 1,511 |
+
+## Usage
+
+Example with `datasets`:
+
+```python
+from datasets import load_dataset
 
-- `InputStoryid`: text string containing the identifier of the story.
-- `InputSentence1`: The first statement in the story.
-- `InputSentence2`: The second statement in the story.
-- `InputSentence3`: The third statement in the story.
-- `InputSentence4`: The forth statement in the story.
-- `RandomFifthSentenceQuiz1`: first possible continuation of the story.
-- `RandomFifthSentenceQuiz2`: second possible continuation of the story.
-- `AnswerRightEnding`: correct possible ending; either 1 or 2.
+ds = load_dataset("proxectonos/xstorycloze_gl")
+print(ds["train"][0])
+print(ds["test"][0])
+```
 
-## Funding
+## Acknowledgements
 This dataset was compiled within the Nós Project, funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the [project ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215336.