Update files from the datasets library (from 1.13.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.13.0
- biosses.py +4 -4
- dataset_infos.json +1 -1
- dummy/0.0.0/dummy_data.zip +1 -1
biosses.py
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@@ -67,8 +67,8 @@ class Biosses(datasets.GeneratorBasedBuilder):
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def _info(self):
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features = datasets.Features(
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{
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"
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"
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"score": datasets.Value("float32"),
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}
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)
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@@ -93,7 +93,7 @@ class Biosses(datasets.GeneratorBasedBuilder):
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df = pd.read_csv(filepath, sep="\t", encoding="utf-8")
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for idx, row in df.iterrows():
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yield idx, {
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"
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"
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"score": row["score"],
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}
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def _info(self):
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features = datasets.Features(
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{
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"sentence1": datasets.Value("string"),
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"sentence2": datasets.Value("string"),
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"score": datasets.Value("float32"),
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}
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)
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df = pd.read_csv(filepath, sep="\t", encoding="utf-8")
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for idx, row in df.iterrows():
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yield idx, {
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"sentence1": row["sentence1"],
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"sentence2": row["sentence2"],
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"score": row["score"],
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}
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dataset_infos.json
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{"default": {"description": "BIOSSES is a benchmark dataset for biomedical sentence similarity estimation. The dataset comprises 100 sentence pairs, in which each sentence was selected from the TAC (Text Analysis Conference) Biomedical Summarization Track Training Dataset containing articles from the biomedical domain. The sentence pairs were evaluated by five different human experts that judged their similarity and gave scores ranging from 0 (no relation) to 4 (equivalent).\n", "citation": "@article{souganciouglu2017biosses,\n title={BIOSSES: a semantic sentence similarity estimation system for the biomedical domain},\n author={So{\\u{g}}anc{\\i}o{\\u{g}}lu, Gizem and {\\\"O}zt{\\\"u}rk, Hakime and {\\\"O}zg{\\\"u}r, Arzucan},\n journal={Bioinformatics},\n volume={33},\n number={14},\n pages={i49--i58},\n year={2017},\n publisher={Oxford University Press}\n}\n", "homepage": "https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html", "license": "BIOSSES is made available under the terms of The GNU Common Public License v.3.0.\n", "features": {"
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{"default": {"description": "BIOSSES is a benchmark dataset for biomedical sentence similarity estimation. The dataset comprises 100 sentence pairs, in which each sentence was selected from the TAC (Text Analysis Conference) Biomedical Summarization Track Training Dataset containing articles from the biomedical domain. The sentence pairs were evaluated by five different human experts that judged their similarity and gave scores ranging from 0 (no relation) to 4 (equivalent).\n", "citation": "@article{souganciouglu2017biosses,\n title={BIOSSES: a semantic sentence similarity estimation system for the biomedical domain},\n author={So{\\u{g}}anc{\\i}o{\\u{g}}lu, Gizem and {\\\"O}zt{\\\"u}rk, Hakime and {\\\"O}zg{\\\"u}r, Arzucan},\n journal={Bioinformatics},\n volume={33},\n number={14},\n pages={i49--i58},\n year={2017},\n publisher={Oxford University Press}\n}\n", "homepage": "https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html", "license": "BIOSSES is made available under the terms of The GNU Common Public License v.3.0.\n", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "score": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "biosses", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 32783, "num_examples": 100, "dataset_name": "biosses"}}, "download_checksums": {"https://raw.githubusercontent.com/Markus-Zlabinger/ssts/fce78a649ab90269950aaf44ce20a36e94409392/data/biosses/all.tsv": {"num_bytes": 36324, "checksum": "e0f7b235e4bc9a76ad4bd170bf0da2f449ec6ea677a9a4b5dcb7be6687775906"}}, "download_size": 36324, "post_processing_size": null, "dataset_size": 32783, "size_in_bytes": 69107}}
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dummy/0.0.0/dummy_data.zip
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 989
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b20345ff3a59532f5769193f8cf2ce670d976144815fa90823318e8864df3d2
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size 989
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