Create README.md

README.md

@@ -0,0 +1,81 @@
+---
+license: other
+task_categories:
+  - sentence-similarity
+language:
+  - en
+pretty_name: CCNEWS Embeddings (dim=1024)
+tags:
+  - embeddings
+  - sentence-transformers
+  - out-of-distribution
+  - similarity-search
+---
+
+# Dataset Card for `ccnews-embeddings-dim1024`
+
+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.
+
+## Dataset Details
+
+### Dataset Description
+
+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:
+
+- `data/`: Contains 614,664 embeddings (shape: `[614664, 1024]`) derived from the CCNEWS dataset.
+- `ood/`: Contains 11,000 embeddings (shape: `[11000, 1024]`) derived from the Yahoo Answers dataset.
+
+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.
+
+- **Curated by:** Scarlett Magdaleno
+- **Language(s) (NLP):** English
+- **License:** Other (original datasets were redistributed under their respective licenses)
+
+### Dataset Sources
+
+- **CCNEWS:** https://huggingface.co/datasets/sentence-transformers/ccnews
+- **Yahoo Answers:** https://huggingface.co/datasets/sentence-transformers/yahoo-answers
+
+## Dataset Creation
+
+### Curation Rationale
+
+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.
+
+### Source Data
+
+#### Data Collection and Processing
+
+- Embeddings were computed using the `sentence-transformers/all-roberta-large-v1` model.
+- Only the text field from each dataset was used as input to the encoder.
+- The outputs were saved in PyTorch format using `torch.save`.
+
+#### Who are the source data producers?
+
+- The original texts were produced by internet users and journalists.
+- Embedding generation and formatting were done by Scarlett Magdaleno.
+
+- **Repository:** https://huggingface.co/datasets/ScarlettMagdaleno/ccnews-embeddings-dim1024
+
+## Uses
+
+### Direct Use
+
+- Evaluation of similarity search algorithms
+- Benchmarking nearest neighbor methods under distributional shift
+
+### Out-of-Scope Use
+
+- This dataset does not contain human-readable text or labels.
+
+## Dataset Structure
+
+- Format: PyTorch `.pt` files.
+- Each file contains a single `torch.Tensor` of shape `[N, 1024]`, where `N` is the number of sentences encoded.
+
+### Splits
+
+- `data/`: in-distribution (CCNEWS)
+- `ood/`: out-of-distribution (Yahoo Answers)
+
+