Update files from the datasets library (from 1.17.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.17.0
- README.md +6 -6
- clue.py +11 -5
- dataset_infos.json +1 -1
- dummy/c3/1.0.0/dummy_data.zip +2 -2
- dummy/chid/1.0.0/dummy_data.zip +2 -2
README.md
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#### chid
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- **Size of downloaded dataset files:**
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- **Size of the generated dataset:**
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- **Total amount of disk used:**
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An example of 'train' looks as follows.
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```
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#### cluewsc2020
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- **Size of downloaded dataset files:** 0.
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- **Size of the generated dataset:** 0.
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- **Total amount of disk used:**
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An example of 'train' looks as follows.
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```
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#### chid
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- **Size of downloaded dataset files:** 132.75 MB
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- **Size of the generated dataset:** 261.38 MB
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- **Total amount of disk used:** 394.13 MB
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An example of 'train' looks as follows.
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```
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#### cluewsc2020
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- **Size of downloaded dataset files:** 0.27 MB
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- **Size of the generated dataset:** 0.98 MB
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- **Total amount of disk used:** 1.23 MB
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An example of 'train' looks as follows.
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```
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clue.py
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@@ -407,12 +407,18 @@ class Clue(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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dl_dir = dl_manager.download_and_extract(self.config.data_url)
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data_dir = os.path.join(dl_dir, self.config.data_dir)
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test_split = datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"data_file": os.path.join(
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data_dir, "test.json" if self.config.name != "diagnostics" else "diagnostics_test.json"
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),
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"split": "test",
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},
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)
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data_subset = json.load(open(f, encoding="utf8"))
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data += data_subset
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for idx, entry in enumerate(data):
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for question in entry[1]:
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example = {
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"id": idx if split != "test" else int(question["id"]),
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"context": entry[0],
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"choice": question["choice"],
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"answer": question["answer"] if split != "test" else "",
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}
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yield
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else:
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with open(data_file, encoding="utf8") as f:
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def _split_generators(self, dl_manager):
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dl_dir = dl_manager.download_and_extract(self.config.data_url)
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data_dir = os.path.join(dl_dir, self.config.data_dir)
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if self.config.name in {"chid", "c3"}:
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test_file = "test1.1.json"
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elif self.config.name == "diagnostics":
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test_file = "diagnostics_test.json"
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else:
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test_file = "test.json"
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test_split = datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"data_file": os.path.join(data_dir, test_file),
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"split": "test",
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},
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)
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data_subset = json.load(open(f, encoding="utf8"))
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data += data_subset
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for idx, entry in enumerate(data):
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for qidx, question in enumerate(entry[1]):
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example = {
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"id": idx if split != "test" else int(question["id"]),
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"context": entry[0],
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"choice": question["choice"],
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"answer": question["answer"] if split != "test" else "",
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}
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yield f"{idx}_{qidx}", example
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else:
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with open(data_file, encoding="utf8") as f:
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dataset_infos.json
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