Omkar2118/datasets huggingface dataset:
HumanML3D

HumanML3D is a 3D human motion-language dataset that originates from a combination of HumanAct12 and Amass dataset. It covers a broad range of human actions such as daily activities (e.g., 'walking', 'jumping'), sports (e.g., 'swimming', 'playing golf'), acrobatics (e.g., 'cartwheel') and artistry (e.g., 'dancing'). Overall, HumanML3D dataset consists of 14,616 motions and 44,970 descriptions composed by 5,371 distinct words. The total length of motions amounts to 28.59 hours. The average motion length is 7.1 seconds, while average description length is 12 words.

Introducing paper: Generating Diverse and Natural 3D Human Motions From Text
WikipediaGS

The WikipediaGS dataset was created by extracting Wikipedia tables from Wikipedia pages. It consists of 485,096 tables which were annotated with DBpedia entities for the Cell Entity Annotation (CEA) task.

Additionally, a subset of these tables was annotated by [Chen et al.](https://paperswithcode.com/paper/190600781) for the Column Type Annotation (CTA) task and includes 604 tables, where selected columns were annotated using DBpedia types. This subset is available for download at their official [Github](https://github.com/alan-turing-institute/SemAIDA) repository.

The table below shows the number of annotated cells/columns for each task and the number of different classes used for the annotation.

|     | Annotations | Classes   |
|-----|-------------|-----------|
| CEA | 4,453,329   | 1,222,358 |
| CTA | 620         | 31        |

Introducing paper: Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings
NCI
Full name: New Corpus for Ireland

Contains a wide range of texts in Irish, including fiction, news reports, informative texts and official documents.

Kilgarriff, A., Rundell, M., and Uí Dhonnchadha, E. (2006). Efficient corpus development for lexicography: building the New Corpus for Ireland. Language Resources and Evaluation, 40:127–152. https://link.springer.com/article/10.1007/s10579-006-9011-7