TCM-MKG-Original

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 3 new columns ({'SpeciesID', 'InChIKey', 'Source'}) and 14 missing columns ({'class_Name', 'family_ID', 'kingdom_ID', 'class_ID', 'genus_Name', 'phylum_Name', 'species_name', 'species_ID', 'order_ID', 'phylum_ID', 'kingdom_Name', 'genus_ID', 'order_Name', 'family_Name'}).

This happened while the csv dataset builder was generating data using

hf://datasets/JX-Lab/TCM-MKG-Original/D11_NP_InChIKey.tsv (at revision 77798764eccc67c178c303aaa994b3ed272b19ce), ['hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D10_Natural_products.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D11_NP_InChIKey.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D12_InChIKey.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D13_InChIKey_EntrezID.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D14_InChIKey_SourceID.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D15_InChIKey_distance.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D16_Protein_protein_interactions.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D17_Target_Symbol_Mapping.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D18_ICD11.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D19_ICD11_CUI.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D1_TCM_terminology.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D20_ICD11_MeSH.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D21_ICD11_DOID.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D22_CUI_targets.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D23_MeSH_targets.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D24_DOID_targets.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D2_Chinese_patent_medicine.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D3_CPM_TCMT.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D4_CPM_CHP.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D5_CPM_ICD11.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D6_Chinese_herbal_pieces.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D7_CHP_Medicinal_properties.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D8_CHP_NP.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D9_CHP_InChIKey.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/SD1_predicted_InChIKey_EntrezID.tsv']

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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              SpeciesID: int64
              InChIKey: string
              Source: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 624
              to
              {'kingdom_Name': Value('string'), 'kingdom_ID': Value('float64'), 'phylum_Name': Value('string'), 'phylum_ID': Value('float64'), 'class_Name': Value('string'), 'class_ID': Value('float64'), 'order_Name': Value('string'), 'order_ID': Value('float64'), 'family_Name': Value('string'), 'family_ID': Value('float64'), 'genus_Name': Value('string'), 'genus_ID': Value('int64'), 'species_name': Value('string'), 'species_ID': Value('int64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 3 new columns ({'SpeciesID', 'InChIKey', 'Source'}) and 14 missing columns ({'class_Name', 'family_ID', 'kingdom_ID', 'class_ID', 'genus_Name', 'phylum_Name', 'species_name', 'species_ID', 'order_ID', 'phylum_ID', 'kingdom_Name', 'genus_ID', 'order_Name', 'family_Name'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/JX-Lab/TCM-MKG-Original/D11_NP_InChIKey.tsv (at revision 77798764eccc67c178c303aaa994b3ed272b19ce), ['hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D10_Natural_products.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D11_NP_InChIKey.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D12_InChIKey.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D13_InChIKey_EntrezID.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D14_InChIKey_SourceID.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D15_InChIKey_distance.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D16_Protein_protein_interactions.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D17_Target_Symbol_Mapping.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D18_ICD11.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D19_ICD11_CUI.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D1_TCM_terminology.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D20_ICD11_MeSH.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D21_ICD11_DOID.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D22_CUI_targets.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D23_MeSH_targets.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D24_DOID_targets.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D2_Chinese_patent_medicine.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D3_CPM_TCMT.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D4_CPM_CHP.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D5_CPM_ICD11.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D6_Chinese_herbal_pieces.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D7_CHP_Medicinal_properties.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D8_CHP_NP.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/D9_CHP_InChIKey.tsv', 'hf://datasets/JX-Lab/TCM-MKG-Original@77798764eccc67c178c303aaa994b3ed272b19ce/SD1_predicted_InChIKey_EntrezID.tsv']
              
              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.

kingdom_Name string	kingdom_ID float64	phylum_Name string	phylum_ID float64	class_Name string	class_ID float64	order_Name string	order_ID float64	family_Name string	family_ID float64	genus_Name string	genus_ID int64	species_name string	species_ID int64
Fungi	4,751	Ascomycota	4,890	Eurotiomycetes	147,545	Eurotiales	5,042	Aspergillaceae	1,131,492	Monascus	5,097	Monascus purpureus	5,098
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Polyporales	5,303	Polyporaceae	5,317	Ganoderma	5,314	Ganoderma lucidum	5,315
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Polyporales	5,303	Polyporaceae	5,317	Trametes	5,324	Trametes versicolor	5,325
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Agaricaceae	5,339	Agaricus	5,340	Agaricus bisporus	5,341
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Omphalotaceae	72,117	Lentinula	5,352	Lentinula edodes	5,353
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Polyporales	5,303	Polyporaceae	5,317	Ganoderma	5,314	Ganoderma applanatum	29,884
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Auriculariales	5,226	Auriculariaceae	5,227	Auricularia	5,230	Auricularia auricula-judae	29,892
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Auriculariales	5,226	Auriculariaceae	5,227	Auricularia	5,230	Auricularia polytricha	29,893
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Agaricaceae	5,339	Agaricus	5,340	Agaricus arvensis	34,428
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Polyporales	5,303	Polyporaceae	5,317	Ganoderma	5,314	Ganoderma sinense	36,075
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Pluteaceae	36,657	Volvariella	36,658	Volvariella volvacea	36,659
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Gloeophyllales	452,339	Gloeophyllaceae	452,340	Neolentinus	38,797	Neolentinus lepideus	38,799
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Tricholomataceae	5,351	Tricholoma	40,144	Tricholoma matsutake	40,145
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Hymenochaetales	139,380	Hymenochaetaceae	40,424	Phellinus	40,470	Phellinus igniarius	40,472
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Physalacriaceae	862,241	Armillaria	47,424	Armillaria mellea	47,429
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Polyporales	5,303	Panaceae	2,028,207	Panus	38,807	Panus rudis	48,022
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Agaricaceae	5,339	Agaricus	5,340	Agaricus campestris	56,157
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Agaricaceae	5,339	Coprinus	5,345	Coprinus comatus	56,187
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Agaricaceae	5,339	Podaxis	56,190	Podaxis pistillaris	56,191
Fungi	4,751	Basidiomycota	5,204	Tremellomycetes	155,616	Tremellales	5,234	Tremellaceae	5,215	Tremella	105,767	Tremella fuciformis	64,657
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Psathyrellaceae	184,208	Coprinopsis	184,431	Coprinopsis atramentaria	71,694
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Russulales	452,342	Russulaceae	5,401	Lactifluus	596,919	Lactifluus piperatus	71,966
Fungi	4,751	Ascomycota	4,890	Sordariomycetes	147,550	Hypocreales	5,125	Ophiocordycipitaceae	474,942	Ophiocordyceps	474,995	Ophiocordyceps sinensis	72,228
Fungi	4,751	Ascomycota	4,890	Sordariomycetes	147,550	Hypocreales	5,125	Cordycipitaceae	474,943	Cordyceps	45,234	Cordyceps militaris	73,501
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Boletales	68,889	Boletaceae	5,368	Pulveroboletus	80,667	Pulveroboletus ravenelii	80,668
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Polyporales	5,303	Phaeolaceae	2,983,429	Wolfiporia	81,055	Wolfiporia cocos	81,056
Fungi	4,751	Ascomycota	4,890	Lecanoromycetes	147,547	Lecanorales	5,197	Parmeliaceae	78,060	Parmelia	87,260	Parmelia saxatilis	87,261
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Russulales	452,342	Hericiaceae	40,458	Hericium	40,459	Hericium erinaceus	91,752
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Pleurotaceae	104,366	Pleurotus	5,320	Pleurotus citrinopileatus	98,342
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Russulales	452,342	Hericiaceae	40,458	Hericium	40,459	Hericium coralloides	100,756
Fungi	4,751	Basidiomycota	5,204	Tremellomycetes	155,616	Tremellales	5,234	Naemateliaceae	1,910,785	Naematelia	1,910,899	Naematelia aurantia	105,811
Fungi	4,751	Basidiomycota	5,204	Tremellomycetes	155,616	Tremellales	5,234	Tremellaceae	5,215	Tremella	105,767	Tremella cinnabarina	105,822
Fungi	4,751	Ascomycota	4,890	Lecanoromycetes	147,547	Lecanorales	5,197	Parmeliaceae	78,060	Usnea	86,620	Usnea florida	111,620
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Russulales	452,342	Russulaceae	5,401	Russula	5,402	Russula integra	131,543
Fungi	4,751	Ascomycota	4,890	Lecanoromycetes	147,547	Lecanorales	5,197	Parmeliaceae	78,060	Usnea	86,620	Usnea diffracta	142,672
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Agaricaceae	5,339	Tulostoma	68,813	Tulostoma brumale	150,804
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Russulales	452,342	Russulaceae	5,401	Lactifluus	596,919	Lactifluus vellereus	152,950
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Polyporales	5,303	Polyporaceae	5,317	Polyporus	5,637	Polyporus umbellatus	158,314
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Auriculariales	5,226	Auriculariaceae	5,227	Auricularia	5,230	Auricularia delicata	160,860
Fungi	4,751	Ascomycota	4,890	Lecanoromycetes	147,547	Lecanorales	5,197	Cladoniaceae	5,198	Cladonia	5,199	Cladonia stellaris	174,045
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Marasmiaceae	654,128	Marasmius	34,448	Marasmius oreades	181,124
Fungi	4,751	Ascomycota	4,890	Lecanoromycetes	147,547	Lecanorales	5,197	Cladoniaceae	5,198	Cladonia	5,199	Cladonia amaurocraea	195,753
Fungi	4,751	Ascomycota	4,890	Lecanoromycetes	147,547	Lecanorales	5,197	Parmeliaceae	78,060	Parmotrema	172,634	Parmotrema tinctorum	235,862
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Polyporales	5,303	Polyporaceae	5,317	Trametes	5,324	Trametes orientalis	252,816
Fungi	4,751	Ascomycota	4,890	Lecanoromycetes	147,547	Lecanorales	5,197	Parmeliaceae	78,060	Dolichousnea	281,299	Dolichousnea longissima	281,306
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Polyporales	5,303	Polyporaceae	5,317	Vanderbylia	644,918	Vanderbylia robiniophila	526,246
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Lycoperdaceae	5,426	Calvatia	68,761	Calvatia fenzlii	626,502
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Russulales	452,342	Russulaceae	5,401	Lactarius	34,444	Lactarius picinus	707,229
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Russulales	452,342	Russulaceae	5,401	Russula	5,402	Russula alutacea	1,033,777
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Clitocybaceae	2,982,168	Collybia	5,624	Collybia mongolica	1,966,363
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Agaricaceae	5,339	Schizostoma	2,508,284	Schizostoma laceratum	2,493,807
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	null	null	Omphalia	2,962,917	Omphalia lapidescens	2,962,918
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Lycoperdaceae	5,426	Calvatia	68,761	Calvatia lilacina	2,979,578
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Pleurotaceae	104,366	Pleurotus	5,320	Pleurotus eryngii	5,323
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Pleurotaceae	104,366	Pleurotus	5,320	Pleurotus ostreatus	5,322
Fungi	4,751	Ascomycota	4,890	Sordariomycetes	147,550	Hypocreales	5,125	Cordycipitaceae	474,943	Cordyceps	45,234	Cordyceps cicadae	218,633
Fungi	4,751	Ascomycota	4,890	Lecanoromycetes	147,547	Lecanorales	5,197	Parmeliaceae	78,060	Lethariella	136,277	Lethariella zahlbruckneri	2,054,048
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Boletales	68,889	Gyrodontaceae	73,894	Boletinus	85,972	Boletinus cavipes	85,973
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Boletales	68,889	Boletaceae	5,368	Boletus	5,369	Boletus edulis	36,056
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Boletales	68,889	Astraeaceae	150,780	Astraeus	150,781	Astraeus hygrometricus	150,782
Fungi	4,751	Basidiomycota	5,204	Agaricomycetes	155,619	Agaricales	5,338	Schizophyllaceae	5,332	Schizophyllum	5,333	Schizophyllum commune	5,334
Fungi	4,751	Ascomycota	4,890	Dothideomycetes	147,541	Pleosporales	92,860	Shiraiaceae	224,418	Shiraia	224,419	Shiraia bambusicola	224,420
Metazoa	33,208	Arthropoda	6,656	Merostomata	6,844	Xiphosura	6,845	Limulidae	6,846	Tachypleus	6,851	Tachypleus tridentatus	6,853
Metazoa	33,208	Arthropoda	6,656	Insecta	50,557	Orthoptera	6,993	Acrididae	7,002	Locusta	7,003	Locusta migratoria	7,004
Metazoa	33,208	Arthropoda	6,656	Insecta	50,557	Lepidoptera	7,088	Bombycidae	7,089	Bombyx	7,090	Bombyx mori	7,091
Metazoa	33,208	Arthropoda	6,656	Insecta	50,557	Hymenoptera	7,399	Apidae	7,458	Apis	7,459	Apis mellifera	7,460
Metazoa	33,208	Arthropoda	6,656	Insecta	50,557	Hymenoptera	7,399	Apidae	7,458	Apis	7,459	Apis cerana	7,461
Metazoa	33,208	Echinodermata	7,586	Asteroidea	7,588	Valvatida	41,166	Asterinidae	7,592	Patiria	35,076	Patiria pectinifera	7,594
Metazoa	33,208	Chordata	7,711	Actinopteri	186,623	Cypriniformes	7,952	Xenocyprididae	2,743,745	Ctenopharyngodon	7,958	Ctenopharyngodon idella	7,959
Metazoa	33,208	Chordata	7,711	Actinopteri	186,623	Cypriniformes	7,952	Xenocyprididae	2,743,745	Hypophthalmichthys	7,963	Hypophthalmichthys nobilis	7,965
Metazoa	33,208	Chordata	7,711	Amphibia	8,292	Anura	8,342	Bufonidae	8,382	Bufo	8,383	Bufo bufo	8,384
Metazoa	33,208	Chordata	7,711	Lepidosauria	8,504	Squamata	8,509	Colubridae	8,578	Ptyas	31,141	Ptyas dhumnades	8,587
Metazoa	33,208	Chordata	7,711	Lepidosauria	8,504	Squamata	8,509	Elapidae	8,602	Bungarus	8,612	Bungarus fasciatus	8,613
Metazoa	33,208	Chordata	7,711	Lepidosauria	8,504	Squamata	8,509	Elapidae	8,602	Bungarus	8,612	Bungarus multicinctus	8,616
Metazoa	33,208	Chordata	7,711	Aves	8,782	Anseriformes	8,826	Anatidae	8,830	Anas	8,835	Anas platyrhynchos	8,839
Metazoa	33,208	Chordata	7,711	Aves	8,782	Galliformes	8,976	Phasianidae	9,005	Gallus	9,030	Gallus gallus	9,031
Metazoa	33,208	Chordata	7,711	Aves	8,782	Galliformes	8,976	Phasianidae	9,005	Lophura	9,041	Lophura nycthemera	9,046
Metazoa	33,208	Chordata	7,711	Aves	8,782	Gruiformes	9,108	Rallidae	9,119	Gallinula	9,122	Gallinula chloropus	9,123
Metazoa	33,208	Chordata	7,711	Aves	8,782	Suliformes	3,073,854	Phalacrocoracidae	9,206	Phalacrocorax	9,207	Phalacrocorax carbo	9,209
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Eulipotyphla	9,362	Erinaceidae	9,363	Erinaceus	9,364	Erinaceus europaeus	9,365
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Primates	9,443	Cercopithecidae	9,527	Macaca	9,539	Macaca mulatta	9,544
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Primates	9,443	Hominidae	9,604	Homo	9,605	Homo sapiens	9,606
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Carnivora	33,554	Canidae	9,608	Canis	9,611	Canis lupus	9,612
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Carnivora	33,554	Ursidae	9,632	Ursus	9,639	Ursus thibetanus	9,642
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Carnivora	33,554	Ursidae	9,632	Ursus	9,639	Ursus arctos	9,644
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Carnivora	33,554	Mustelidae	9,655	Meles	9,661	Meles meles	9,662
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Carnivora	33,554	Felidae	9,681	Panthera	9,688	Panthera pardus	9,691
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Carnivora	33,554	Felidae	9,681	Panthera	9,688	Panthera tigris	9,694
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Artiodactyla	91,561	Physeteridae	9,750	Physeter	9,753	Physeter catodon	9,755
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Proboscidea	9,779	Elephantidae	9,780	Elephas	9,782	Elephas maximus	9,783
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Perissodactyla	9,787	Equidae	9,788	Equus	9,789	Equus asinus	9,793
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Perissodactyla	9,787	Equidae	9,788	Equus	9,789	Equus caballus	9,796
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Perissodactyla	9,787	Rhinocerotidae	9,803	Rhinoceros	9,808	Rhinoceros unicornis	9,809
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Artiodactyla	91,561	Suidae	9,821	Sus	9,822	Sus scrofa	9,823
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Artiodactyla	91,561	Cervidae	9,850	Cervus	9,859	Cervus elaphus	9,860
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Artiodactyla	91,561	Cervidae	9,850	Cervus	9,859	Cervus nippon	9,863
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Artiodactyla	91,561	Bovidae	9,895	Bos	9,903	Bos taurus	9,913
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Artiodactyla	91,561	Bovidae	9,895	Capra	9,922	Capra hircus	9,925
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Artiodactyla	91,561	Bovidae	9,895	Ovis	9,935	Ovis aries	9,940
Metazoa	33,208	Chordata	7,711	Mammalia	40,674	Rodentia	9,989	Muridae	10,066	Rattus	10,114	Rattus norvegicus	10,116

End of preview.

TCM-MKG Original Source Archive (Private)

本仓库是 TCM-MKG V1.0 原始发布文件的私有归档，不是新的公开发行版，也不提供新的数据授权。

Scope

This private repository stores the source files obtained from the original TCM-MKG V1.0 Zenodo release:

source tables D1 through D24
supplementary table SD1_predicted_InChIKey_EntrezID.tsv
TCM-MKG_Open_Source_Documentation.pdf

The normalized nodes.tsv and edges.tsv exports are not stored here. They remain in the separate public reorganized dataset at JX-Lab/TCM-MKG.

Original Source And Attribution

Traditional Chinese Medicine Multidimensional Knowledge Graph (TCM-MKG V1.0)

Original authors: Zeng, Jingqi; Jia, Xiaobin
Publisher: China Pharmaceutical University
Source: https://doi.org/10.5281/zenodo.13763953
Original release year: 2024

JX-Lab did not collect or author the underlying biomedical content.

Rights And Access

The original Zenodo record describes TCM-MKG as openly released but does not specify a formal license in its Rights/License field. This archive therefore uses Hugging Face's other license classification and does not apply a new blanket license.

All rights in the original files remain with the original authors, China Pharmaceutical University, and the respective upstream database or terminology rights holders. This repository is private and maintained only for provenance, reproducibility, and internal archival purposes.

Do not redistribute these source files or make this repository public without confirming the applicable permissions for TCM-MKG and each incorporated upstream source.

Citation

@dataset{zeng_jingqi_2024_13763953,
  author       = {Zeng, Jingqi and Jia, Xiaobin},
  title        = {Traditional Chinese Medicine Multidimensional Knowledge Graph (TCM-MKG)},
  year         = {2024},
  publisher    = {China Pharmaceutical University},
  version      = {V1.0},
  doi          = {10.5281/zenodo.13763953},
  url          = {https://doi.org/10.5281/zenodo.13763953}
}

Rights-Holder Requests

如原作者或其他权利人认为本私有归档仍包含不应保存的内容，请通过 Hugging Face 联系 JX-Lab。收到并核实权利主张后，将及时删除或调整相关文件。

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