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--- |
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license: other |
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task_categories: |
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- sentence-similarity |
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language: |
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- en |
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pretty_name: CCNEWS Embeddings (dim=1024) |
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tags: |
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- embeddings |
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- sentence-transformers |
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- out-of-distribution |
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- similarity-search |
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--- |
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# Dataset Card for `ccnews-embeddings-dim1024` |
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This dataset contains precomputed 1024-dimensional embeddings of English news articles from the [CCNEWS dataset](https://huggingface.co/datasets/sentence-transformers/ccnews) using the `sentence-transformers/all-roberta-large-v1` model. It also includes an out-of-distribution (OOD) subset of embeddings from [Yahoo Answers](https://huggingface.co/datasets/sentence-transformers/yahoo-answers), processed in the same way. |
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Note: This repository only provides the embeddings. If you are interested in the original text-embedding pairs for the CCNEWS subset, they are available in the related repository: [ScarlettMagdaleno/ccnews_all-roberta-large-v1_1024](https://huggingface.co/datasets/ScarlettMagdaleno/ccnews_all-roberta-large-v1_1024). |
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## Dataset Details |
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### Dataset Description |
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The dataset is intended for tasks related to **similarity search** and **evaluation under domain shift** (in-distribution vs. out-of-distribution). It contains two main subsets: |
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- `data/`: Contains 614,664 embeddings (shape: `[614664, 1024]`) derived from the CCNEWS dataset. |
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- `ood/`: Contains 11,000 embeddings (shape: `[11000, 1024]`) derived from the Yahoo Answers dataset. |
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All embeddings were computed using the [sentence-transformers/all-roberta-large-v1](https://huggingface.co/sentence-transformers/all-roberta-large-v1) model and stored in PyTorch `.pt` format. |
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- **Curated by:** Scarlett Magdaleno |
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- **Language(s) (NLP):** English |
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- **License:** Other (original datasets were redistributed under their respective licenses) |
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### Dataset Sources |
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- **CCNEWS:** https://huggingface.co/datasets/sentence-transformers/ccnews |
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- **Yahoo Answers:** https://huggingface.co/datasets/sentence-transformers/yahoo-answers |
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## Dataset Creation |
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### Curation Rationale |
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The embeddings were generated to facilitate efficient **similarity search** and enable controlled **experiments on generalization across domains**, using CCNEWS as the in-distribution (ID) source and Yahoo Answers as the out-of-distribution (OOD) set. |
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### Source Data |
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#### Data Collection and Processing |
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- Embeddings were computed using the `sentence-transformers/all-roberta-large-v1` model. |
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- Only the text field from each dataset was used as input to the encoder. |
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- The outputs were saved in PyTorch format using `torch.save`. |
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#### Who are the source data producers? |
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- The original texts were produced by internet users and journalists. |
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- Embedding generation and formatting were done by Scarlett Magdaleno. |
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- **Repository:** https://huggingface.co/datasets/ScarlettMagdaleno/ccnews-embeddings-dim1024 |
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## Uses |
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### Direct Use |
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- Evaluation of similarity search algorithms |
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- Benchmarking nearest neighbor methods under distributional shift |
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### Out-of-Scope Use |
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- This dataset does not contain human-readable text or labels. |
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## Dataset Structure |
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- Format: PyTorch `.pt` files. |
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- Each file contains a single `torch.Tensor` of shape `[N, 1024]`, where `N` is the number of sentences encoded. |
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### Splits |
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- `data/`: in-distribution (CCNEWS) |
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- `ood/`: out-of-distribution (Yahoo Answers) |
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