Update README.md

README.md

@@ -4,7 +4,7 @@ dataset_info:
   - name: article
     dtype: string
   - name: embedding
-    sequence: float64
+    sequence: float32
   splits:
   - name: train
     num_bytes: 6526015558
@@ -16,4 +16,100 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: other
+task_categories:
+  - sentence-similarity
+language:
+  - en
+pretty_name: CCNEWS with Embeddings (dim=1024)
+tags:
+  - embeddings
+  - sentence-transformers
+  - similarity-search
+  - parquet
+  - ccnews
 ---
+
+
+
+# Dataset Card for `ccnews_all-roberta-large-v1_dim1024`
+
+This dataset contains English news articles from the [CCNEWS dataset](https://huggingface.co/datasets/sentence-transformers/ccnews) along with their corresponding 1024-dimensional embeddings, precomputed using the `sentence-transformers/all-roberta-large-v1` model.
+
+
+## Dataset Details
+
+### Dataset Description
+
+Each entry in this dataset is stored in Apache Parquet format, split into multiple files for scalability. Each record contains two fields:
+
+- `'article'`: The original news article text.
+- `'embedding'`: A 1024-dimensional list representing the output of the `sentence-transformers/all-roberta-large-v1` encoder.
+
+- **Curated by:** Scarlett Magdaleno
+- **Language(s) (NLP):** English
+- **License:** Other (the dataset is a derivative of the CCNEWS dataset, which may carry its own license)
+
+### Dataset Sources
+
+- **Base Text Dataset:** [sentence-transformers/ccnews](https://huggingface.co/datasets/sentence-transformers/ccnews)
+- **Embedding Model:** [sentence-transformers/all-roberta-large-v1](https://huggingface.co/sentence-transformers/all-roberta-large-v1)
+
+## Dataset Creation
+
+### Curation Rationale
+
+The dataset was created to enable fast and reproducible similarity search experiments, as well as to provide a resource where the relationship between the raw text and its embedding is explicitly retained.
+
+### Source Data
+
+#### Data Collection and Processing
+
+- Texts were taken from the CCNEWS dataset available on Hugging Face.
+- Each article was passed through the encoder `all-roberta-large-v1` from the `sentence-transformers` library.
+- The resulting embeddings were stored along with the article in Parquet format for efficient disk usage and interoperability.
+
+#### Who are the source data producers?
+
+- The original texts come from English-language news websites.
+- The embeddings were generated and curated by Scarlett Magdaleno.
+
+- **Repository:** https://huggingface.co/datasets/ScarlettMagdaleno/ccnews_all-roberta-large-v1_dim1024
+
+## Uses
+
+### Direct Use
+
+This dataset is suitable for:
+
+- Training and evaluating similarity search models.
+- Experiments involving semantic representation of news content.
+- Weakly supervised learning using embeddings as targets or features.
+- Benchmarks for contrastive or clustering approaches.
+
+### Out-of-Scope Use
+
+- Not suitable for generative modeling tasks (no labels, no dialogues, no instructions).
+- Does not include metadata such as timestamps, URLs, or categories.
+
+## Dataset Structure
+
+Each Parquet file contains a table with two columns:
+
+- `article` (string): The raw article text.
+- `embedding` (list[float]): A list of 1024 float values representing the semantic embedding.
+
+### Format
+
+- Storage format: Apache Parquet.
+- Total records: same as CCNEWS — approximately 614,664 articles.
+- Split: the dataset is divided into multiple parquet files for better loading performance.
+
+### Example Record
+
+```json
+{
+  "article": "U.S. President signs new environmental policy...",
+  "embedding": [0.023, -0.117, ..., 0.098]  # 1024 values
+}
+