origami-ml/jsynth-data
jsynth-data Preprocessed datasets for Origami tabular/JSON synthesis experiments. Each configuration is an independent dataset with its own schema and train/test split. Datasets Dataset Train Test Type adult 32,561 16,281 Tabular diabetes 61,059 20,354 Tabular electric_vehicles 189,010 21,001 Tabular ddxplus 1,025,602 134,529 Semi-structured Usage from huggingface_hub import hf_hub_download path = hf_hub_download(… See the full description on the dataset page: https://huggingface.co/datasets/origami-ml/jsynth-data.
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1---2configs:3 - config_name: adult4 data_files:5 - split: train6 path: adult/train.jsonl7 - split: test8 path: adult/test.jsonl9 - config_name: diabetes10 data_files:11 - split: train12 path: diabetes/train.jsonl13 - split: test14 path: diabetes/test.jsonl15 - config_name: electric_vehicles16 data_files:17 - split: train18 path: electric_vehicles/train.jsonl19 - split: test20 path: electric_vehicles/test.jsonl21 - config_name: ddxplus22 data_files:23 - split: train24 path: ddxplus/train.jsonl25 - split: test26 path: ddxplus/test.jsonl27---28 29# jsynth-data30 31Preprocessed datasets for Origami tabular/JSON synthesis experiments.32 33Each configuration is an independent dataset with its own schema and train/test split.34 35## Datasets36 37| Dataset | Train | Test | Type |38|---------|-------|------|------|39| adult | 32,561 | 16,281 | Tabular |40| diabetes | 61,059 | 20,354 | Tabular |41| electric_vehicles | 189,010 | 21,001 | Tabular |42| ddxplus | 1,025,602 | 134,529 | Semi-structured |43 44## Usage45 46```python47from huggingface_hub import hf_hub_download48 49path = hf_hub_download(50 repo_id="origami-ml/jsynth-data",51 filename="adult/train.jsonl",52 repo_type="dataset",53)54```55 56Or with the `datasets` library:57 58```python59from datasets import load_dataset60 61ds = load_dataset("origami-ml/jsynth-data", "adult")62```63