| 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) |
|
|
