Clémentine
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Med Dialog
Browse files- healthcaremagic/test.json +0 -0
- healthcaremagic/train.json +0 -0
- healthcaremagic/valid.json +0 -0
- icliniq/test.json +0 -0
- icliniq/train.json +0 -0
- icliniq/valid.json +0 -0
- med_dialog.py +148 -0
healthcaremagic/test.json
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healthcaremagic/train.json
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healthcaremagic/valid.json
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icliniq/test.json
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icliniq/train.json
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icliniq/valid.json
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med_dialog.py
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| 1 |
+
import datasets
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| 2 |
+
import os
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| 3 |
+
import json
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| 4 |
+
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| 5 |
+
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| 6 |
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_CITATION = """
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| 7 |
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@article{chen2020meddiag,
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| 8 |
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title={MedDialog: a large-scale medical dialogue dataset},
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| 9 |
+
author={Chen, Shu and Ju, Zeqian and Dong, Xiangyu and Fang, Hongchao and Wang, Sicheng and Yang, Yue and Zeng,
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| 10 |
+
Jiaqi and Zhang, Ruisi and Zhang, Ruoyu and Zhou, Meng and Zhu, Penghui and Xie, Pengtao},
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| 11 |
+
journal={arXiv preprint arXiv:2004.03329},
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| 12 |
+
year={2020}
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| 13 |
+
}
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| 14 |
+
"""
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| 15 |
+
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| 16 |
+
_DESCRIPTION = """
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| 17 |
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"The MedDialog dataset (English) contains conversations between doctors and patients.
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| 18 |
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It has 0.26 million dialogues. The data is continuously growing and more dialogues will be added.
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| 19 |
+
The raw dialogues are from healthcaremagic.com and icliniq.com. All copyrights of the data belong
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| 20 |
+
to healthcaremagic.com and icliniq.com."
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| 21 |
+
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| 22 |
+
The following is an example from the healthcaremagic.com subset:
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| 23 |
+
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| 24 |
+
Patient: I get cramps on top of my left forearm and hand and it causes my hand and fingers to draw up and it
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| 25 |
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hurts. It mainly does this when I bend my arm. I ve been told that I have a slight pinch in a nerve in my neck.
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| 26 |
+
Could this be a cause? I don t think so. Doctor: Hi there. It may sound difficult to believe it ,but the nerves
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| 27 |
+
which supply your forearms and hand, start at the level of spinal cord and on their way towards the forearm and
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| 28 |
+
hand regions which they supply, the course of these nerves pass through difference fascial and muscular planes
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| 29 |
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that can make them susceptible to entrapment neuropathies. Its a group of conditions where a nerve gets
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| 30 |
+
compressed between a muscle and a bone, or between the fibers of a muscle that it pierces or passes through.
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| 31 |
+
Also, the compression can happen when the nerves are travelling around a blood vessel which can mechanically put
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| 32 |
+
pressure on them. Usually patients who would be having such a problem present with a dull aching pain over the
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| 33 |
+
arm and forearm. If it is not too severe and does not cause any neurological deficits then conservative management
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| 34 |
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with Pregabalin and Vitamin B complex tablets, activity modifications and physiotherapy can be started which
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| 35 |
+
will provide relief. Avoid the activities which exaggerate your problem.
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| 36 |
+
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| 37 |
+
Could painful forearms be related to pinched nerve in neck?
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| 38 |
+
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| 39 |
+
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| 40 |
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The following is an example from the icliniq.com subset:
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| 41 |
+
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| 42 |
+
Patient: Hello doctor, We are looking for a second opinion on my friend's MRI scan of both the knee joints as he
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| 43 |
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is experiencing excruciating pain just above the patella. He has a sudden onset of severe pain on both the knee
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| 44 |
+
joints about two weeks ago. Previously he had a similar episode about two to three months ago and it subsided
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| 45 |
+
after resting and painkillers. Doctor: Hi. I viewed the right and left knee MRI images. (attachment removed to
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| 46 |
+
protect patient identity). Left knee: The MRI, left knee joint shows a complex tear in the posterior horn of the
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| 47 |
+
medial meniscus area and mild left knee joint effusion. There is some fluid between the semimembranous and medial
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| 48 |
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head of gastrocnemius muscles. There is a small area of focal cartilage defect in the upper pole of the patella
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| 49 |
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with mild edematous fat. The anterior and posterior cruciate ligaments are normal. The medial and lateral
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| 50 |
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collateral ligaments are normal. Right knee: The right knee joint shows mild increased signal intensity in the
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| 51 |
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posterior horn of the medial meniscus area and minimal knee joint effusion. There is minimal fluid in the back
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| 52 |
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of the lower thigh and not significant. There is a suspicious strain in the left anterior cruciate ligament
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| 53 |
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interiorly but largely the attachments are normal. The posterior cruciate ligament is normal. There are subtle
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| 54 |
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changes in the upper pole area of the right patella and mild edema. There is mild edema around the bilateral
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| 55 |
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distal quadriceps tendons, but there is no obvious tear of the tendons.
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| 56 |
+
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| 57 |
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My friend has excruciating knee pain. Please interpret his MRI report
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| 58 |
+
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| 59 |
+
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| 60 |
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Paper: https://arxiv.org/abs/2004.03329
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| 61 |
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Code: https://github.com/UCSD-AI4H/Medical-Dialogue-System
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| 62 |
+
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| 63 |
+
@article{chen2020meddiag,
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| 64 |
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title={MedDialog: a large-scale medical dialogue dataset},
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| 65 |
+
author={Chen, Shu and Ju, Zeqian and Dong, Xiangyu and Fang, Hongchao and Wang, Sicheng and Yang, Yue and Zeng,
|
| 66 |
+
Jiaqi and Zhang, Ruisi and Zhang, Ruoyu and Zhou, Meng and Zhu, Penghui and Xie, Pengtao},
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| 67 |
+
journal={arXiv preprint arXiv:2004.03329},
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| 68 |
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year={2020}
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| 69 |
+
}
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| 70 |
+
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| 71 |
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We used the data preprocessing from "BioBART: Pretraining and Evaluation o A Biomedical Generative Language Model"
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| 72 |
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(Yuan et al.) and generated the following splits:
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| 73 |
+
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| 74 |
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|Dataset | Train | Valid | Test |
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| 75 |
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|--------------- |------------|---------|--------|
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| 76 |
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|HealthCareMagic | 181,122 | 22,641 | 22,642 |
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| 77 |
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|iCliniq | 24,851 | 3,105 | 3,108 |
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| 78 |
+
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| 79 |
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Yuan et al. described, "HealthCareMagic's summaries are more abstractive and are written in a formal style,
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| 80 |
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unlike iCliniq's patient-written summaries."
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| 81 |
+
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| 82 |
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Paper: https://arxiv.org/abs/2204.03905
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| 83 |
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Code: https://github.com/GanjinZero/BioBART
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| 84 |
+
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| 85 |
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@misc{https://doi.org/10.48550/arxiv.2204.03905,
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| 86 |
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doi = {10.48550/ARXIV.2204.03905},
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| 87 |
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url = {https://arxiv.org/abs/2204.03905},
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| 88 |
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author = {Yuan, Hongyi and Yuan, Zheng and Gan, Ruyi and Zhang, Jiaxing and Xie, Yutao and Yu, Sheng},
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| 89 |
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keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences,
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| 90 |
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FOS: Computer and information sciences},
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| 91 |
+
title = {BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model},
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| 92 |
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publisher = {arXiv},
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| 93 |
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year = {2022},
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| 94 |
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copyright = {arXiv.org perpetual, non-exclusive license}
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| 95 |
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}
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| 96 |
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"""
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| 97 |
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| 98 |
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class MedDialog(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name=name, version=datasets.Version("1.0.0"), description=_DESCRIPTION)
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| 103 |
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for name in ["healthcaremagic", "icliniq"]
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| 104 |
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]
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| 105 |
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| 106 |
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def _info(self):
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| 107 |
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features = datasets.Features(
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| 108 |
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{
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| 109 |
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"tgt": datasets.Value("string"),
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| 110 |
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"src": datasets.Value("string"),
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| 111 |
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"id": datasets.Value("int64"),
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| 112 |
+
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| 113 |
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}
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| 114 |
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)
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return datasets.DatasetInfo(
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| 116 |
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description=_DESCRIPTION,
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| 117 |
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features=features,
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| 118 |
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homepage="",
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| 119 |
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license="",
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| 120 |
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citation=_CITATION,
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| 121 |
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)
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| 122 |
+
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| 123 |
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def _split_generators(self, dl_manager):
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| 124 |
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train_json = dl_manager.download(os.path.join(self.config.name, "train.json"))
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| 125 |
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valid_json = dl_manager.download(os.path.join(self.config.name, "valid.json"))
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| 126 |
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test_json = dl_manager.download(os.path.join(self.config.name, "test.json"))
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| 127 |
+
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| 128 |
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return [
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| 129 |
+
datasets.SplitGenerator(
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| 130 |
+
name=datasets.Split.TRAIN,
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| 131 |
+
gen_kwargs={"path": train_json},
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| 132 |
+
),
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| 133 |
+
datasets.SplitGenerator(
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| 134 |
+
name=datasets.Split.VALIDATION,
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| 135 |
+
gen_kwargs={"path": valid_json},
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| 136 |
+
),
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| 137 |
+
datasets.SplitGenerator(
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| 138 |
+
name=datasets.Split.TEST,
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| 139 |
+
gen_kwargs={"path": test_json},
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| 140 |
+
)
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| 141 |
+
]
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| 142 |
+
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| 143 |
+
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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| 144 |
+
def _generate_examples(self, path):
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| 145 |
+
with open(path, encoding="utf-8") as f:
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| 146 |
+
file = json.load(f)
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| 147 |
+
for key, row in enumerate(file["data"]):
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| 148 |
+
yield key, row
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