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tcm-llm-overrely-on-names

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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 6 new columns ({'order', 'response', 'ID', 'medicine_name', 'true_ingredients', 'model'}) and 5 missing columns ({'answer', 'id', 'ingredients', 'type', 'name'}).

This happened while the json dataset builder was generating data using

hf://datasets/med-llm/tcm-llm-overrely-on-names/data/direct/instance_bc2_5_instruct_results.json (at revision bf34d138a45867fe663cf48f361d141658d82252)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              model: string
              order: int64
              ID: int64
              medicine_name: string
              response: string
              true_ingredients: list<item: string>
                child 0, item: string
              to
              {'id': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None), 'type': Value(dtype='int64', id=None), 'answer': Value(dtype='int64', id=None), 'ingredients': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 6 new columns ({'order', 'response', 'ID', 'medicine_name', 'true_ingredients', 'model'}) and 5 missing columns ({'answer', 'id', 'ingredients', 'type', 'name'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/med-llm/tcm-llm-overrely-on-names/data/direct/instance_bc2_5_instruct_results.json (at revision bf34d138a45867fe663cf48f361d141658d82252)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

id
int64
name
string
type
int64
answer
int64
ingredients
sequence
0
障眼明片
0
1
[ "石菖蒲", "决明子", "肉苁蓉", "葛根", "青葙子", "党参", "蔓荆子", "枸杞子", "车前子", "白芍", "山茱萸", "甘草", "菟丝子", "升麻", "蕤仁", "菊花", "密蒙花", "川芎", "黄精", "熟地黄", "关黄柏", "黄芪" ]
1
加味左金丸
0
1
[ "黄连", "吴茱萸", "黄芩", "柴胡", "木香", "香附", "郁金", "白芍", "青皮", "枳壳", "陈皮", "延胡索", "当归", "甘草" ]
2
十三味榜嘎散
0
1
[ "榜嘎", "波棱瓜子", "麻花", "秦艽花", "迭达", "直立紫堇", "苦菜", "洪连三棵针皮", "柴胡草", "甘青青蓝", "五灵脂膏", "细叶白前子", "红景天" ]
3
午时茶胶囊
0
1
[ "苍术", "柴胡", "羌活", "防风", "白芷", "川芎", "广藿香", "前胡", "连翘", "陈皮", "山楂", "枳实", "麦芽(炒)", "甘草", "桔梗", "六神曲(炒)", "紫苏叶", "厚朴", "红茶" ]
4
抗骨增生胶囊
0
1
[ "熟地黄", "鸡血藤", "肉苁蓉", "莱菔子(炒)", "狗脊", "骨碎补", "女贞子", "牛膝", "淫羊藿" ]
5
平肝舒络丸
0
1
[ "柴胡", "青皮(醋炙)", "陈皮", "佛手", "乌药", "香附(醋炙)" ]
6
七厘散
0
1
[ "血竭", "乳香(制)", "没药", "红花", "冰片", "麝香", "儿茶", "朱砂" ]
7
消痔软膏
0
1
[ "熊胆粉", "地榆", "冰片" ]
8
养阴生血合剂
0
1
[ "地黄", "黄芪", "当归", "玄参", "麦冬", "石斛", "川芎" ]
9
黄连上清胶囊
0
1
[ "黄连", "栀子", "连翘", "白芷", "薄荷", "川芎", "石膏", "黄芩", "黄柏", "大黄", "菊花", "旋复花", "荆芥穗", "防风", "桔梗", "炒蔓荆子", "甘草" ]
10
乳康颗粒
0
1
[ "黄芪", "丹参", "夏枯草", "海藻", "牡蛎", "瓜蒌", "玄参", "三棱", "莪术", "没药", "乳香", "浙贝母" ]
11
安神宝颗粒
0
1
[ "酸枣仁", "枸杞子", "合欢花" ]
12
安神宝颗粒
0
1
[ "酸枣仁", "枸杞子", "合欢花" ]
13
女珍颗粒
0
1
[ "女贞子", "墨旱莲", "地黄", "紫草", "酸枣仁", "柏子仁", "钩藤", "珍珠粉", "茯苓", "莲子心" ]
14
消栓通络颗粒
0
1
[ "川芎", "丹参", "黄芪", "泽泻", "三七", "槐花", "桂枝", "郁金", "木香", "冰片", "山楂" ]
15
滋肾健脑颗粒
0
1
[ "龟甲", "鹿角", "楮实子", "枸杞子", "人参", "茯苓" ]
16
四君子丸
0
1
[ "党参", "炙甘草", "茯苓", "炒白术" ]
17
伸筋丹胶囊
0
1
[ "地龙", "制马钱子", "红花", "乳香", "防己", "没药", "香加皮", "烫骨碎补" ]
18
肠炎宁胶囊
0
1
[ "地锦草", "黄毛耳草", "樟树根", "香薷", "枫树叶" ]
19
双丹口服液
0
1
[ "丹参", "牡丹皮" ]
20
积雪苷片
0
1
[ "积雪草苷", "三七", "丹参", "当归", "白芍" ]
21
乌鸡白凤颗粒
0
1
[ "乌鸡", "艾叶", "牛膝", "柴胡", "干姜", "白芍", "牡丹皮", "香附", "延胡索", "知丹", "茯苓", "黄连", "秦芄", "当归", "黄芪", "青蒿", "地黄", "熟地黄", "川贝母", "地骨皮" ]
22
健脑安神片
0
1
[ "枸杞", "茯苓", "红参", "龟甲", "熟地黄", "黄精", "大枣" ]
23
健脑安神片
0
1
[ "酒黄精", "淫羊藿", "枸杞子", "鹿茸", "鹿角霜", "红参", "大枣", "茯苓", "麦冬", "龟甲", "炒酸枣仁", "南五味子", "制远志", "熟地黄", "苍耳子" ]
24
百合固金口服液
0
1
[ "白芍", "百合", "川贝母", "当归", "地黄", "甘草", "桔梗", "麦冬", "熟地黄", "玄参" ]
25
保和片
0
1
[ "山楂", "六神曲", "半夏", "茯苓", "连翘", "莱菔子", "麦芽" ]
26
舒肝和胃丸
0
1
[ "香附（醋制）", "白芍", "佛手", "木香", "郁金", "白术（炒）", "陈皮", "柴胡", "广藿香", "炙甘草", "莱菔子", "槟榔（炒焦）", "乌药" ]
27
湿毒清片
0
1
[ "地黄", "当归", "丹参", "苦参", "蝉蜕", "黄芩", "白鲜皮", "土茯苓", "甘草" ]
28
保心片
0
1
[ "三七", "丹参", "川芎", "山楂", "制何首乌", "何首乌" ]
29
逍遥颗粒
0
1
[ "柴胡", "当归", "白芍", "炒白术", "茯苓", "炙甘草", "薄荷", "生姜" ]
30
保妇康栓
0
1
[ "莪术油", "冰片" ]
31
保妇康栓
0
1
[ "莪术油", "冰片", "薄荷油", "丁香油", "肉桂油" ]
32
抗骨增生丸
0
1
[ "熟地黄", "酒肉苁蓉", "狗脊（盐制）", "女贞子（盐制）", "淫羊藿", "鸡血藤", "炒莱菔子", "骨碎补", "牛膝" ]
33
川芎茶调丸
0
1
[ "川芎", "白芷", "羌活", "细辛", "防风", "荆芥", "薄荷", "甘草" ]
34
参芪十一味颗粒
0
1
[ "人参（去芦）", "黄芪", "当归", "天麻", "熟地黄", "泽泻", "决明子", "鹿角", "菟丝子", "细辛", "枸杞子" ]
35
痛经宝颗粒
0
1
[ "红花", "当归", "肉桂", "三棱", "莪术", "丹参", "五灵脂", "木香", "延胡索（醋制）" ]
36
橘红胶囊
0
1
[ "橘红", "陈皮", "法半夏", "茯苓", "甘草", "桔梗", "苦杏仁", "炒紫苏子", "紫菀", "款冬花", "瓜蒌皮", "浙贝母", "地黄", "麦冬", "石膏" ]
37
舒康贴膏
0
1
[ "山楂核精" ]
38
清火栀麦胶囊
0
1
[ "穿心莲", "栀子", "麦冬" ]
39
清火栀麦片
0
1
[ "穿心莲", "栀子", "麦冬" ]
40
驴胶补血颗粒
0
1
[ "阿胶", "黄芪", "党参", "熟地黄", "白术", "当归" ]
41
复方丹参片
0
1
[ "丹参", "三七", "冰片" ]
42
清火栀麦丸
0
1
[ "穿心莲", "栀子", "麦冬" ]
43
骨质宁搽剂
0
1
[ "云母石", "黄连", "枯矾" ]
44
逍遥胶囊
0
1
[ "柴胡", "当归", "白芍", "炒白术", "茯苓", "炙甘草", "薄荷", "生姜" ]
45
逍遥丸
0
1
[ "柴胡", "当归", "白芍", "炒白术", "茯苓", "炙甘草", "薄荷", "生姜" ]
46
九香止痛丸
0
1
[ "川木香", "木香", "沉香", "降香", "小茴香（盐水炙）", "八角茴香", "丁香", "乳香（炒）", "广藿香" ]
47
克伤痛搽剂
0
1
[ "川芎", "当归", "丁香", "红花", "生姜", "松节油", "樟脑" ]
48
抗感解毒口服液
0
1
[ "葛根", "白芷", "金银花", "菊花", "连翘", "黄芩", "栀子", "板蓝根", "大青叶", "茵陈", "贯众" ]
49
抗病毒口服液
0
1
[ "板蓝根", "石膏", "芦根", "生地黄", "郁金", "知母", "石菖蒲", "广藿香", "连翘", "蜂蜜", "蔗糖", "纯化水" ]
50
金莲花颗粒
0
1
[ "金莲花" ]
51
西瓜霜
0
1
[ "西瓜", "芒硝" ]
52
清开灵胶囊
0
1
[ "胆酸", "珍珠母", "猪去氧胆酸", "栀子", "水牛角", "板蓝根", "黄芩苷", "金银花" ]
53
强力枇杷膏（蜜炼）
0
1
[ "枇杷叶", "罂粟壳", "百部", "白前", "桑白皮", "桔梗", "薄荷脑", "炼蜜", "饴糖", "枸椽酸", "香精", "苯甲酸钠" ]
54
龙泽熊胆胶囊
0
1
[ "龙胆", "盐泽泻", "地黄", "当归", "栀子", "菊花", "盐车前子", "决明子", "柴胡", "防风", "黄芩", "木贼", "黄连", "薄荷脑", "大黄", "冰片", "熊胆粉" ]
55
熊胆胶囊
0
1
[ "熊胆", "龙胆草", "黄连粉", "大黄", "黄芩", "决明子", "菊花", "地黄", "栀子", "木贼", "冰片" ]
56
山玫胶囊
0
1
[ "山楂叶", "刺玫果" ]
57
山玫胶囊
0
1
[ "山楂叶", "刺玫果" ]
58
清开灵软胶囊
0
1
[ "胆酸", "珍珠母", "猪去氧胆酸", "栀子", "水牛角", "板蓝根", "黄芩苷", "金银花" ]
59
固肾定喘丸
0
1
[ "熟地黄", "附片(黑顺片)", "牡丹皮", "牛膝", "盐补骨脂", "砂仁", "车前子", "茯苓", "盐益智仁", "肉桂", "山药", "泽泻", "金樱子肉" ]
60
五子衍宗片
0
1
[ "枸杞子", "菟丝子(炒)", "覆盆子", "五味子(蒸)", "车前子(盐水炙)" ]
61
通宣理肺片
0
1
[ "紫苏叶", "前胡", "桔梗", "苦杏仁", "麻黄", "甘草", "陈皮", "半夏", "茯苓", "枳壳(炒)", "黄芩" ]
62
三七伤药胶囊
0
1
[ "三七", "草乌（蒸）", "雪上一枝蒿", "接骨木", "骨碎补", "红花", "赤芍", "冰片" ]
63
小儿感冒口服液
0
1
[ "广藿香", "菊花", "连翘", "大青叶", "板蓝根", "地黄", "地骨皮", "白薇", "薄荷", "石膏" ]
64
乌军治胆片
0
1
[ "乌梅", "大黄", "佛手", "枳实", "牛至", "栀子", "甘草", "槟榔", "威灵仙", "姜黄" ]
65
小儿化毒散
0
1
[ "人工牛黄", "珍珠", "雄黄", "大黄", "黄连", "天花粉", "川贝母", "赤芍", "乳香(制)", "没药(制)", "冰片", "甘草" ]
66
桑菊感冒丸
0
1
[ "桑叶", "菊花", "连翘", "芦根", "桔梗", "甘草", "苦杏仁", "薄荷油" ]
67
阿魏化痞膏
0
1
[ "生川乌", "生草乌", "三棱", "莪术", "当归", "巴豆", "大黄", "穿山甲", "红大戟", "生半夏", "桃仁", "赤芍", "青皮", "礞石(研)", "郁金", "阿魏(研)", "黄丹" ]
68
五味麝香丸
0
1
[ "麝香", "诃子(去核)", "黑草乌", "木香", "藏菖蒲" ]
69
益气聪明丸
0
1
[ "升麻", "葛根", "黄柏（炒）", "白芍", "蔓荆子", "党参", "黄芪", "炙甘草" ]
70
外伤如意膏
0
1
[ "紫草", "地榆", "栀子", "大黄", "黄芩", "黄柏", "冰片" ]
71
舒心口服液
0
1
[ "党参", "黄芪", "红花", "当归", "川芎", "三棱", "蒲黄" ]
72
复方益母草胶囊
0
1
[ "益母草", "熟地黄", "当归" ]
73
复方益母草膏
0
1
[ "益母草", "当归", "川芎", "白芍", "地黄", "木香", "蜂蜜" ]
74
灵泽片
0
1
[ "乌灵菌粉", "莪术", "浙贝母", "泽泻" ]
75
复方大青叶合剂
0
1
[ "大青叶", "山银花", "羌活", "拳参", "大黄" ]
76
护肝胶囊
0
1
[ "柴胡", "五味子", "茵陈", "板蓝根", "猪胆粉", "绿豆" ]
77
天菊脑安胶囊
0
1
[ "川芎", "天麻", "菊花", "蔓荆子", "藁本", "白芍", "丹参", "墨旱莲", "女贞子", "牛膝" ]
78
参芪五味子胶囊
0
1
[ "五味子", "黄芪", "党参", "酸枣仁（炒）" ]
79
斑秃丸
0
1
[ "地黄", "熟地黄", "制何首乌", "当归", "丹参", "炒白芍", "五味子", "羌活", "木瓜" ]
80
夏桑菊颗粒
0
1
[ "夏枯草", "野菊花", "桑叶", "蔗糖" ]
81
蒲地蓝消炎口服液
0
1
[ "蒲公英", "苦地丁", "板蓝根", "黄芩" ]
82
清淋颗粒
0
1
[ "瞿麦", "萹蓄", "木通", "车前子（盐炒）", "滑石", "栀子", "大黄", "炙甘草" ]
83
正金油软膏
0
1
[ "薄荷脑", "薄荷油", "樟脑", "樟油", "桉油", "丁香罗勒油" ]
84
十六味冬青丸
0
1
[ "冬青叶", "石榴", "石膏", "肉桂", "豆蔻", "木香", "丁香", "甘草", "白葡萄干", "沉香", "拳参", "荜茇", "肉豆蔻", "红花", "广枣", "方海" ]
85
甜梦口服液（甜梦合剂）
0
1
[ "刺五加", "黄精", "蚕蛾", "桑椹", "党参", "黄芪", "砂仁", "枸杞子", "山楂", "熟地黄", "淫羊藿（制）", "陈皮", "茯苓", "马钱子（制）", "法半夏", "泽泻", "山药" ]
86
固本统血颗粒
0
1
[ "锁阳", "菟丝子", "肉桂", "巴戟天", "黄芪", "山药", "附子", "枸杞子", "党参", "淫羊藿" ]
87
牛黄清心丸
0
1
[ "白芍药", "麦门冬", "黄芩", "当归", "防风", "白术", "柴胡", "桔梗", "川芎", "白茯苓", "杏仁", "神曲", "蒲黄", "人参", "羚羊角", "麝香", "龙脑", "肉桂", "大豆黄卷", "阿胶", "白蔹", "干姜", "牛黄", "犀角", "雄黄", "干山药", "甘草", "金箔", "大枣" ]
88
复方珍珠口疮颗粒
0
1
[ "珍珠", "五倍子", "苍术", "甘草", "糊精" ]
89
妇康宁片
0
1
[ "白芍", "益母草", "当归", "香附", "三七", "党参", "麦冬", "艾叶(炭)" ]
90
芩连片
0
1
[ "黄芩", "连翘", "黄连", "黄柏", "赤芍", "甘草" ]
91
参苓白术散
0
1
[ "白扁豆", "白术", "茯苓", "甘草", "桔梗", "莲子", "人参", "砂仁", "山药", "薏苡仁" ]
92
白带丸
0
1
[ "黄柏（酒炒）", "椿皮", "白芍", "当归", "醋香附" ]
93
和胃止泻胶囊
0
1
[ "盐酸小檗碱", "拳参" ]
94
芩暴红止咳片
0
1
[ "满山红", "暴马子皮", "黄芩" ]
95
复方夏枯草膏
0
1
[ "夏枯草", "香附", "甘草", "僵蚕", "白芍", "当归", "陈皮", "桔梗", "川芎", "红花", "昆布(漂)", "浙贝母", "玄参", "乌药" ]
96
健民咽喉片
0
1
[ "玄参", "麦冬", "蝉蜕", "诃子", "桔梗", "板蓝根", "胖大海", "地黄", "西青果", "甘草", "薄荷素油", "薄荷脑" ]
97
养血清脑颗粒
0
1
[ "当归", "川芎", "白芍", "熟地黄", "钩藤", "鸡血藤", "夏枯草", "决明子", "珍珠母", "延胡索", "细辛", "糊精", "甜菊素" ]
98
复方丹参喷雾剂
0
1
[ "丹参", "三七", "冰片" ]
99
藤丹胶囊
0
1
[ "钩藤", "夏枯草", "猪胆膏", "桑寄生", "丹参", "车前子", "川芎", "三七", "防己", "黄芪" ]
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This is a the dataset used for the tests and experiments in the paper Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs.

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