| --- |
| task_categories: |
| - feature-extraction |
| tags: |
| - table-embeddings |
| - column-type-annotation |
| - column-property-annotation |
| - tabular |
| --- |
| |
| # TabEmb Representations |
|
|
| Precomputed LLM column embeddings used by the [TabEmb](https://github.com/) pipeline |
| for column type annotation (CTA) and column property annotation (CPA). |
|
|
| **TODO before publishing:** fill in the sections below, and confirm the licensing |
| terms of each source benchmark permit redistributing derived embeddings |
| (SOTAB, T2D, WebTables, WikiTables each have their own license/citation |
| requirements). |
|
|
| ## Contents |
|
|
| Each subdirectory follows `<data_dir_name>/<task>/` (task is `cta` or `cpa`), |
| containing pickle files named: |
|
|
| ``` |
| <task>_<data_name>_<split>_<row_examples>_<model>_<quantized>_<mean_pooling>_<layer_offset>_<layer_pooling>.pkl |
| ``` |
|
|
| Datasets included: |
| - `dataset-sota-dbpedia` |
| - `dataset-t2d` |
| - `sotabv2` |
| - `webtables` |
| - `wikitable` |
|
|
| ## Pickle schema |
|
|
| Each `.pkl` file is a dict with: |
| - `table_id`: array of table identifiers |
| - `column_id`: array of column indices |
| - `embedding`: array of embedding vectors (one per column) |
| - `label`: array of integer class labels |
|
|
| ## Loading |
|
|
| ```python |
| import pickle |
| with open("dataset-t2d/cta/cta_dataset-t2d_train_25_mistral_True_True_1_none.pkl", "rb") as f: |
| data = pickle.load(f) |
| ``` |
|
|
| ## License / Citation |
|
|
| TODO: state the license for this derived data and cite the original |
| benchmarks (SOTAB, T2D, WDC WebTables, WikiTables). |
|
|
