| --- |
| license: mit |
| language: |
| - en |
| tags: |
| - herbs |
| - plants |
| - spice |
| - botany |
| - alternativemedicine |
| --- |
| |
| # Herbs Domain Knowledge Safety Wikipedia Embeddings |
|
|
| Pre-computed vector embeddings from Wikipedia articles covering **Assorted Herbs**, **spices**, and other botanical items used for alternative medicine — ready to drop into your RAG pipeline without any embedding overhead. |
|
|
| --- |
|
|
| ## Dataset Details |
|
|
| | Property | Details | |
| |---|---| |
| | Embedding Model | [`nomic-ai/nomic-embed-text-v1.5`](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5) (135M) | |
| | Vector Dimensions | `768` | |
| | Source | Wikipedia | |
| | Topics | herbs, plants, spices, and other botanical items for alternative medicine | |
| | Format | CSV (vectors + metadata) | |
|
|
| --- |
|
|
| ## Quickstart |
|
|
| ```python |
| import pandas as pd |
| import ast |
| |
| df = pd.read_csv("hf://datasets/rakhasetiawan/herbal-knowledge-embedding-wikipedia/blob/main/assorted_herbs_domain_vector_embeddings.csv") |
| |
| # Convert the embedding column from string to list |
| df["embedding"] = df["embedding"].apply(ast.literal_eval) |
| |
| print(df.head()) |
| # text | embedding | title | url |
| ``` |
|
|
| ## License |
|
|
| Dataset content is sourced from Wikipedia and is available under the [Creative Commons Attribution-ShareAlike 4.0](https://creativecommons.org/licenses/by-sa/4.0/) license. |
|
|
| --- |
