aladar/sql-questions

This dataset is the triplet subset of https://huggingface.co/datasets/sentence-transformers/sql-questions with a train and test split.

The test split can be passed to TripletEvaluator.

The train and test spilts don't have any queries in common.

Here's the full script used to generate this dataset

import os

import datasets
from sklearn.model_selection import train_test_split


dataset = datasets.load_dataset(
    "sentence-transformers/sql-questions", "triplet", split="train"
)

queries_unique = list({record["query"]: None for record in dataset})
# Use a dict for deterministic (insertion) order
len(queries_unique)

queries_tr, queries_te = train_test_split(
    queries_unique, test_size=0.2, random_state=42
)

queries_tr = set(queries_tr)
queries_te = set(queries_te)
train_dataset = dataset.filter(lambda record: record["query"] in queries_tr)
test_dataset = dataset.filter(lambda record: record["query"] in queries_te)

assert not set(train_dataset["query"]) & set(test_dataset["query"])
assert len(train_dataset) + len(test_dataset) == len(dataset)


dataset_dict = datasets.DatasetDict({"train": train_dataset, "test": test_dataset})
dataset_dict.push_to_hub(
    "aladar/sql-questions", config_name="triplet", token=os.environ["HF_TOKEN_CREATE"]
)