Datasets:

nicolafan
/

wikifragments

@@ -86,17 +86,14 @@ Paragraphs are cleaned using the standard `wikiextractor` logic. For each paragr
 - **Curated by:** Nicola Fanelli (PhD Student @ University of Bari Aldo Moro, Italy)
 - **Language(s) (NLP):** English
-<!-- - **License:** MIT -->
-<!-- - **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed] -->
 ### License
-- **Code**: MIT License (see `LICENSE` file).
 - **Text Data**: The Wikipedia text is licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). When using this dataset, you must provide proper attribution to Wikipedia and its contributors and share any derivatives under the same license.
 - **Images**: Images are sourced from Wikipedia and Wikimedia Commons. Each image is subject to its own license, which is typically indicated on its original page. Users of this dataset are responsible for ensuring they comply with the licensing terms of individual images.
-### Dataset Sources [optional]
 All content originates from [Wikipedia (en)](https://en.wikipedia.org/). Any use of this dataset must comply with Wikipedia’s copyright policies.
@@ -182,7 +179,7 @@ All text and image content is sourced from the English Wikipedia and Wikimedia C
 The text was authored by contributors to the English Wikipedia. Images were contributed by various users to Wikimedia Commons and are subject to individual licenses. No demographic or identity metadata is available for content creators.
-### Annotations [optional]
 <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
@@ -228,7 +225,7 @@ Users should be aware of and account for:
 - The fact that the dataset reflects a snapshot in time and is not updated in real-time
 - Limitations in using this dataset for safety-critical or fact-sensitive applications
-## Citation [optional]
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
@@ -247,15 +244,15 @@ Users should be aware of and account for:
 Fanelli, N., Vessio, G., & Castellano, G. (2025). ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval. arXiv preprint arXiv:2507.21917.
-## Glossary [optional]
 <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
 ## Dataset Card Authors [optional]

 - **Curated by:** Nicola Fanelli (PhD Student @ University of Bari Aldo Moro, Italy)
 - **Language(s) (NLP):** English
 ### License
+- **Code**: MIT License.
 - **Text Data**: The Wikipedia text is licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). When using this dataset, you must provide proper attribution to Wikipedia and its contributors and share any derivatives under the same license.
 - **Images**: Images are sourced from Wikipedia and Wikimedia Commons. Each image is subject to its own license, which is typically indicated on its original page. Users of this dataset are responsible for ensuring they comply with the licensing terms of individual images.
+### Dataset Sources
 All content originates from [Wikipedia (en)](https://en.wikipedia.org/). Any use of this dataset must comply with Wikipedia’s copyright policies.
 The text was authored by contributors to the English Wikipedia. Images were contributed by various users to Wikimedia Commons and are subject to individual licenses. No demographic or identity metadata is available for content creators.
+### Annotations
 <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
 - The fact that the dataset reflects a snapshot in time and is not updated in real-time
 - Limitations in using this dataset for safety-critical or fact-sensitive applications
+## Citation
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 Fanelli, N., Vessio, G., & Castellano, G. (2025). ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval. arXiv preprint arXiv:2507.21917.
+<!-- ## Glossary [optional] -->
 <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+<!-- [More Information Needed] -->
+<!-- ## More Information [optional] -->
+<!-- [More Information Needed] -->
 ## Dataset Card Authors [optional]