KlaudiaTH
commited on
Commit
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c5d0fec
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Parent(s):
72cac8f
Converted json files to unix format (CLRF -> LF)
Browse files- .gitattributes +1 -0
- dataset_infos.json +1 -1
- tedrics-data.py +10 -11
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.json text eol=lf
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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dataset_infos.json
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{"tasks": {"description": "", "citation": "@misc{,\n title={ },\n author={},\n year={2022}\n}\n", "homepage": "", "license": "CC BY-SA", "features": {"task_id": {"dtype": "int32", "id": null, "_type": "Value"}, "mbpp_task_id": {"dtype": "int32", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "licence": {"dtype": "string", "id": null, "_type": "Value"}, "task": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "te_dri_cs_data", "config_name": "tasks", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3486, "num_examples": 20, "dataset_name": "te_dri_cs_data"}}, "download_checksums": {"tedrics_data_tasks.json": {"num_bytes":
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{"tasks": {"description": "", "citation": "@misc{,\n title={ },\n author={},\n year={2022}\n}\n", "homepage": "", "license": "CC BY-SA", "features": {"task_id": {"dtype": "int32", "id": null, "_type": "Value"}, "mbpp_task_id": {"dtype": "int32", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "licence": {"dtype": "string", "id": null, "_type": "Value"}, "task": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "te_dri_cs_data", "config_name": "tasks", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3486, "num_examples": 20, "dataset_name": "te_dri_cs_data"}}, "download_checksums": {"tedrics_data_tasks.json": {"num_bytes": 5569, "checksum": "2dc3c8d13a07a19903b011067d01c14b6a8d6cff2587baa9d1b9bc9d8fd0e92c"}}, "download_size": 5569, "post_processing_size": null, "dataset_size": 3486, "size_in_bytes": 9055}, "testcases": {"description": "", "citation": "@misc{,\n title={ },\n author={},\n year={2022}\n}\n", "homepage": "", "license": "CC BY-SA", "features": {"task_id": {"dtype": "int32", "id": null, "_type": "Value"}, "mbpp_task_id": {"dtype": "int32", "id": null, "_type": "Value"}, "task": {"dtype": "string", "id": null, "_type": "Value"}, "test_cases": {"feature": {"test_case_id": {"dtype": "int32", "id": null, "_type": "Value"}, "cot": {"dtype": "string", "id": null, "_type": "Value"}, "input": {"dtype": "string", "id": null, "_type": "Value"}, "output": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "te_dri_cs_data", "config_name": "testcases", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 15460, "num_examples": 15, "dataset_name": "te_dri_cs_data"}, "validation": {"name": "validation", "num_bytes": 4987, "num_examples": 5, "dataset_name": "te_dri_cs_data"}}, "download_checksums": {"tedrics_data_testcases.json": {"num_bytes": 19405, "checksum": "54ff31cc75706e4e5e73ee9eddac7655372bfd40ba5bbd06b83fce6a908258a0"}, "tedrics_data_testcases_val.json": {"num_bytes": 6294, "checksum": "cc5a152f3dc06bf414cc6b42b157bd83d44a57aa3308b9569ba4dfcb70405849"}}, "download_size": 25699, "post_processing_size": null, "dataset_size": 20447, "size_in_bytes": 46146}, "codefunctions": {"description": "", "citation": "@misc{,\n title={ },\n author={},\n year={2022}\n}\n", "homepage": "", "license": "CC BY-SA", "features": {"task_id": {"dtype": "int32", "id": null, "_type": "Value"}, "mbpp_task_id": {"dtype": "int32", "id": null, "_type": "Value"}, "description": {"dtype": "string", "id": null, "_type": "Value"}, "cot": {"dtype": "string", "id": null, "_type": "Value"}, "imports": {"dtype": "string", "id": null, "_type": "Value"}, "function_head": {"dtype": "string", "id": null, "_type": "Value"}, "function_body": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "te_dri_cs_data", "config_name": "codefunctions", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 11301, "num_examples": 15, "dataset_name": "te_dri_cs_data"}, "validation": {"name": "validation", "num_bytes": 3726, "num_examples": 5, "dataset_name": "te_dri_cs_data"}}, "download_checksums": {"tedrics_data_codefunctions.json": {"num_bytes": 13758, "checksum": "e4f25e11d79ede3d5ef4d282d781f6611f6c3cffbf9507aa831bc74885480d72"}, "tedrics_data_codefunctions_val.json": {"num_bytes": 4550, "checksum": "4366e2b3709ac7207acd6338416d708e490342df3d2038aca5bf2eedfbbe260e"}}, "download_size": 18308, "post_processing_size": null, "dataset_size": 15027, "size_in_bytes": 33335}}
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tedrics-data.py
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@@ -43,7 +43,7 @@ class TeDriCSData(datasets.GeneratorBasedBuilder):
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for subset in _SUBSETS
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]
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DEFAULT_CONFIG_NAME = "
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def _info(self):
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if self.config.name == "tasks":
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yield id_, sample
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id_ += 1
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####Zum Testen der Implementierung
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#from datasets import load_dataset
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#def main():
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#if __name__ == "__main__":
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# main()
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#### Zum Generieren der dataset_infos.json (im Terminal)
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for subset in _SUBSETS
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]
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DEFAULT_CONFIG_NAME = "testcases"
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def _info(self):
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if self.config.name == "tasks":
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yield id_, sample
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id_ += 1
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####Zum Testen der Implementierung
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# from datasets import load_dataset
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# def main():
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# dataset = load_dataset('C:\\Users\\klaud\\TeDriCSProj\\tedrics-data\\tedrics-data.py')
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# print(dataset["train"])
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# print(dataset["train"][0])
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# print(dataset["validation"])
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# print(dataset["validation"][0])
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# if __name__ == "__main__":
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# main()
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#### Zum Generieren der dataset_infos.json (im Terminal)
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