first commit

README.md

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+<<<<<<< HEAD
 ---
 license: afl-3.0
 ---
+=======
+### Dataset Card for SNLI Back Translation
+back translation of SNLI dataset: only use the test version
+>>>>>>> 2afd18c (first commit)

snli-bt.py

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+import json
+
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+_URL = "https://huggingface.co/datasets/sagnikrayc/snli-bt/resolve/main"
+_URLS = {
+    "train": f"{_URL}/train.jsonl",
+    "validation": f"{_URL}/validation.jsonl",
+    "test": f"{_URL}/test.jsonl",
+}
+
+
+class SnliBTConfig(datasets.BuilderConfig):
+    def __init__(self, **kwargs):
+        super(SnliBTConfig, self).__init__(**kwargs)
+
+
+class SnliCF(datasets.GeneratorBasedBuilder):
+    """SQUAD: The Stanford Question Answering Dataset. Version 1.1."""
+
+    BUILDER_CONFIGS = [
+        SnliBTConfig(
+            name="plain_text",
+            version=datasets.Version("1.0.0", ""),
+            description="Plain text",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="NA",
+            features=datasets.Features(
+                {
+                    "idx": datasets.Value("string"),
+                    "premise": datasets.Value("string"),
+                    "hypothesis": datasets.Value("string"),
+                    "label": datasets.Value("string"),
+                    "_type": datasets.Value("string"),
+                }
+            ),
+            # No default supervised_keys (as we have to pass both question
+            # and context as input).
+            supervised_keys=None
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["validation"]}
+            ),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        with open(filepath, encoding="utf-8") as rf:
+            for idx, line in enumerate(rf):
+                if line:
+                    _line = json.loads(line)
+                    yield idx, {
+                        "premise": _line["premise"],
+                        "hypothesis": _line["hypothesis"],
+                        "idx": _line["idx"],
+                        "_type": _line["_type"],
+                        "label": _line["label"]
+                    }

test.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2e0ffeb1198abdd717a20257ed3067ba93422b9028835d4d76017fec5041df01
+size 3860362

train.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2e0ffeb1198abdd717a20257ed3067ba93422b9028835d4d76017fec5041df01
+size 3860362

validation.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2e0ffeb1198abdd717a20257ed3067ba93422b9028835d4d76017fec5041df01
+size 3860362