Datasets:
Commit ·
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Parent(s): 0f3fa98
thesis-split: 784/196 partition stratified by tier, spatial function and territorial division
Browse files- README.md +20 -2
- split_manifest.json +68 -0
- train.parquet +2 -2
- validation.parquet +2 -2
README.md
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@@ -46,10 +46,28 @@ The dataset comprises manually annotated question-SQL pairs classified into four
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## 📁 Files and Reproducibility
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The dataset is divided into standard `train.parquet` and `validation.parquet` splits.
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**⚠️ Important Note on Reproducibility:**
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The baseline experiments documented in the original paper were conducted **exclusively** on the original 980 question-SQL pairs. The
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To exactly replicate the experiments and results from the original paper, you **must**:
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1. Use the dataset version associated with the **`paper-released`** tag.
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## 📁 Files and Reproducibility
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The dataset is divided into standard `train.parquet` and `validation.parquet` splits. Two tagged snapshots are preserved so that published results remain reproducible:
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| Tag | Content | Used in |
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| :--- | :--- | :--- |
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| `paper-released` | 980 curated pairs (`source = base_dataset`) plus five augmented partitions in `train.parquet`; a separate 196-pair `validation.parquet` | SBBD 2026 paper (first execution of the experiments) |
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| `thesis-split` (current `main`) | The 980 curated pairs partitioned into 784 training and 196 validation pairs, stratified by complexity tier, spatial function and territorial division (one validation pair per tier × function × division cell, seed 42); `split_manifest.json` records the counts and checksums | Master's thesis (second execution of the experiments) |
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### Loading the thesis split (Python)
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```python
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from datasets import load_dataset
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dataset = load_dataset("datafromlopes/atlas-sql-br", revision="thesis-split")
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print(len(dataset["train"]), len(dataset["validation"])) # 784 196
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```
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The thesis split is generated by `core/make_paper_split.py` in the [code repository](https://github.com/datafromlopes/atlas-sql-br), which also holds the training, generation and evaluation pipeline and the results of the thesis run. The fine-tuned adapter is published as [`datafromlopes/llama-3.1-8b-atlassql-br`](https://huggingface.co/datafromlopes/llama-3.1-8b-atlassql-br).
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### Reproducing the paper
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**⚠️ Important Note on Reproducibility:**
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The baseline experiments documented in the original paper were conducted **exclusively** on the original 980 question-SQL pairs. The `paper-released` snapshot also includes additional data generated through data augmentation techniques.
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To exactly replicate the experiments and results from the original paper, you **must**:
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1. Use the dataset version associated with the **`paper-released`** tag.
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split_manifest.json
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{
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"source_file": "/Users/diegolopes/repositories/atlas_sql_br/data/paper_released/train.parquet",
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"source_md5": "bd62f326098f882009ca72b7f26c5c97",
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"source_partition": "base_dataset",
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"seed": 42,
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"val_fraction": 0.2,
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"stratified_by": [
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"level",
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"geospatial_functions",
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"territorial_division"
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],
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"train": {
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"rows": 784,
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"by_tier": {
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"Difícil": 196,
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"Fácil": 196,
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"Muito Difícil": 196,
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"Médio": 196
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},
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"by_function": {
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"ST_Buffer": 112,
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"ST_Contains": 112,
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"ST_DWithin": 112,
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"ST_Distance": 112,
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"ST_Intersection": 112,
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"ST_Intersects": 112,
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"ST_Within": 112
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},
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"by_division": {
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"Bairro": 112,
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"Distrito": 112,
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"Estado": 112,
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"Município": 112,
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"País": 112,
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"Região": 112,
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"Rua": 112
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}
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},
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"validation": {
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"rows": 196,
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"by_tier": {
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"Difícil": 49,
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"Fácil": 49,
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"Muito Difícil": 49,
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"Médio": 49
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},
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"by_function": {
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"ST_Buffer": 28,
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"ST_Contains": 28,
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"ST_DWithin": 28,
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"ST_Distance": 28,
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"ST_Intersection": 28,
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"ST_Intersects": 28,
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"ST_Within": 28
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},
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"by_division": {
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"Bairro": 28,
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"Distrito": 28,
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"Estado": 28,
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"Município": 28,
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"País": 28,
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"Região": 28,
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"Rua": 28
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}
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},
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"train_md5": "c759e6c383ed39459ea9622dc1160911",
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"validation_md5": "645ff583d3deb55dbbe02807d6e0ecaf"
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}
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train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:e20374824c82fa5fb66e4a2c6bcf2a807c61c098c6c36aea569638317e1d7c1c
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size 92006
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validation.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e4c9af1dd118b7b7409200002f93597dd3e83f318580de1561d6abb7884fb38
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size 32722
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