| from datasets import load_dataset | |
| def test_streaming_dataset(): | |
| dataset = load_dataset("./ccmatrix.py", "nl-en", streaming=True) | |
| assert list(dataset.keys()) == ["train"] | |
| train_ds = dataset["train"] | |
| i = iter(train_ds) | |
| e = next(i) | |
| assert e == { | |
| "id": 0, | |
| "score": 1.2499677, | |
| "translation": { | |
| "nl": "Zij kwamen uit alle delen van Egypte, evenals zij op de dag van Zijn komst zullen doen.", | |
| "en": "They come from all parts of Egypt, just like they will at the day of His coming.", | |
| }, | |
| } | |
| e = next(i) | |
| assert list(e.keys()) == ["id", "score", "translation"] | |
| assert e == { | |
| "id": 1, | |
| "score": 1.2498379, | |
| "translation": { | |
| "nl": "En we moeten elke waarheid vals noemen die niet minstens door een lach vergezeld ging.”", | |
| "en": 'And we should call every truth false which was not accompanied by at least one laugh."', | |
| }, | |
| } | |
| def test_streaming_dataset_2(): | |
| dataset = load_dataset("./ccmatrix.py", "nl-en", streaming=True) | |
| assert list(dataset.keys()) == ["train"] | |
| train_ds = dataset["train"] | |
| i = iter(train_ds) | |
| e = next(i) | |
| assert e == { | |
| "id": 0, | |
| "score": 1.2499677, | |
| "translation": { | |
| "nl": "Zij kwamen uit alle delen van Egypte, evenals zij op de dag van Zijn komst zullen doen.", | |
| "en": "They come from all parts of Egypt, just like they will at the day of His coming.", | |
| }, | |
| } | |
| e = next(i) | |
| assert list(e.keys()) == ["id", "score", "translation"] | |
| assert e == { | |
| "id": 1, | |
| "score": 1.2498379, | |
| "translation": { | |
| "nl": "En we moeten elke waarheid vals noemen die niet minstens door een lach vergezeld ging.”", | |
| "en": 'And we should call every truth false which was not accompanied by at least one laugh."', | |
| }, | |
| } | |
| def test_max_train_samples_1(): | |
| dataset = load_dataset("./ccmatrix.py", "nl-en", max_train_samples=123) | |
| assert list(dataset.keys()) == ["train"] | |
| train_ds = dataset["train"] | |
| assert len(train_ds) == 123 | |
| i = iter(train_ds) | |
| e = next(i) | |
| assert e == { | |
| "id": 0, | |
| "score": 1.2499676942825317, | |
| "translation": { | |
| "nl": "Zij kwamen uit alle delen van Egypte, evenals zij op de dag van Zijn komst zullen doen.", | |
| "en": "They come from all parts of Egypt, just like they will at the day of His coming.", | |
| }, | |
| } | |
| e = next(i) | |
| assert list(e.keys()) == ["id", "score", "translation"] | |
| assert e == { | |
| "id": 1, | |
| "score": 1.249837875366211, | |
| "translation": { | |
| "nl": "En we moeten elke waarheid vals noemen die niet minstens door een lach vergezeld ging.”", | |
| "en": 'And we should call every truth false which was not accompanied by at least one laugh."', | |
| }, | |
| } | |
| def test_max_train_samples_2(): | |
| dataset = load_dataset("./ccmatrix.py", "nl-en", max_train_samples=256) | |
| assert list(dataset.keys()) == ["train"] | |
| train_ds = dataset["train"] | |
| assert len(train_ds) == 256 | |
| i = iter(train_ds) | |
| e = next(i) | |