Datasets:

sm1rk
/

diagnosis-matching-project-data

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 4 new columns ({'diag', 'other_diag', 'teacher_prob_1', 'teacher_prob_0'}) and 19 missing columns ({'ratio-pos', 'prompt-large-deepseek-deepseek-chat-v3-0324', 'cos_sim_linking_model_bergamot_biosyn_ep19', 'prompt-large-GigaChat-2-Max', 'prompt-icd-Vikhrmodels-Vikhr-Nemo-12B-Instruct-R-21-09-24', 'ratio-stem', 'prompt-large-Vikhrmodels-Vikhr-Nemo-12B-Instruct-R-21-09-24', 'prompt-icd-Qwen-Qwen2.5-7B-Instruct', 'cos_sim_snowflake-arctic-embed2', 'Unnamed: 0', 'ratio-1-gram', 'cos_sim_giga-emb', 'prompt-large-GigaChat-Max', 'ratio-2-gram', 'prompt-large-phi4:14b-fp16', 'ratio-edit-dist', 'prompt-large-llama3.1:70b-instruct-fp16', 'ratio-lemma', 'prompt-large-Qwen-Qwen2.5-7B-Instruct'}).

This happened while the csv dataset builder was generating data using

hf://datasets/sm1rk/diagnosis-matching-project-data/distil-train-full.csv (at revision 64702430121b1132f8e7e3141a8d0cae106ee798), [/tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/ablation-train.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/ablation-train.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-full.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-full.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-full.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-full.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-nondup.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-nondup.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-preprocessed-nondup.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-preprocessed-nondup.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-nondup.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-nondup.csv)]

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/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              diag: string
              other_diag: string
              label: bool
              teacher_prob_1: double
              teacher_prob_0: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 854
              to
              {'Unnamed: 0': Value('int64'), 'label': Value('int64'), 'ratio-edit-dist': Value('float64'), 'ratio-1-gram': Value('float64'), 'ratio-2-gram': Value('float64'), 'ratio-stem': Value('float64'), 'ratio-pos': Value('float64'), 'ratio-lemma': Value('float64'), 'prompt-icd-Vikhrmodels-Vikhr-Nemo-12B-Instruct-R-21-09-24': Value('int64'), 'prompt-icd-Qwen-Qwen2.5-7B-Instruct': Value('int64'), 'cos_sim_giga-emb': Value('float64'), 'cos_sim_linking_model_bergamot_biosyn_ep19': Value('float64'), 'cos_sim_snowflake-arctic-embed2': Value('float64'), 'prompt-large-phi4:14b-fp16': Value('int64'), 'prompt-large-llama3.1:70b-instruct-fp16': Value('int64'), 'prompt-large-Vikhrmodels-Vikhr-Nemo-12B-Instruct-R-21-09-24': Value('int64'), 'prompt-large-GigaChat-2-Max': Value('int64'), 'prompt-large-Qwen-Qwen2.5-7B-Instruct': Value('int64'), 'prompt-large-GigaChat-Max': Value('int64'), 'prompt-large-deepseek-deepseek-chat-v3-0324': 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 1348, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 890, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 951, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1839, 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 4 new columns ({'diag', 'other_diag', 'teacher_prob_1', 'teacher_prob_0'}) and 19 missing columns ({'ratio-pos', 'prompt-large-deepseek-deepseek-chat-v3-0324', 'cos_sim_linking_model_bergamot_biosyn_ep19', 'prompt-large-GigaChat-2-Max', 'prompt-icd-Vikhrmodels-Vikhr-Nemo-12B-Instruct-R-21-09-24', 'ratio-stem', 'prompt-large-Vikhrmodels-Vikhr-Nemo-12B-Instruct-R-21-09-24', 'prompt-icd-Qwen-Qwen2.5-7B-Instruct', 'cos_sim_snowflake-arctic-embed2', 'Unnamed: 0', 'ratio-1-gram', 'cos_sim_giga-emb', 'prompt-large-GigaChat-Max', 'ratio-2-gram', 'prompt-large-phi4:14b-fp16', 'ratio-edit-dist', 'prompt-large-llama3.1:70b-instruct-fp16', 'ratio-lemma', 'prompt-large-Qwen-Qwen2.5-7B-Instruct'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/sm1rk/diagnosis-matching-project-data/distil-train-full.csv (at revision 64702430121b1132f8e7e3141a8d0cae106ee798), [/tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/ablation-train.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/ablation-train.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-full.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-full.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-full.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-full.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-nondup.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-nondup.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-preprocessed-nondup.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-isgold-preprocessed-nondup.csv), /tmp/hf-datasets-cache/medium/datasets/27137016224335-config-parquet-and-info-sm1rk-diagnosis-matching--d04670da/hub/datasets--sm1rk--diagnosis-matching-project-data/snapshots/64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-nondup.csv (origin=hf://datasets/sm1rk/diagnosis-matching-project-data@64702430121b1132f8e7e3141a8d0cae106ee798/distil-train-nondup.csv)]
              
              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.

Unnamed: 0 int64	label int64	ratio-edit-dist float64	ratio-1-gram float64	ratio-2-gram float64	ratio-stem float64	ratio-pos float64	ratio-lemma float64	prompt-icd-Vikhrmodels-Vikhr-Nemo-12B-Instruct-R-21-09-24 int64	prompt-icd-Qwen-Qwen2.5-7B-Instruct int64	cos_sim_giga-emb float64	cos_sim_linking_model_bergamot_biosyn_ep19 float64	cos_sim_snowflake-arctic-embed2 float64	prompt-large-phi4:14b-fp16 int64	prompt-large-llama3.1:70b-instruct-fp16 int64	prompt-large-Vikhrmodels-Vikhr-Nemo-12B-Instruct-R-21-09-24 int64	prompt-large-GigaChat-2-Max int64	prompt-large-Qwen-Qwen2.5-7B-Instruct int64	prompt-large-GigaChat-Max int64	prompt-large-deepseek-deepseek-chat-v3-0324 int64
0	0	0.25	0	0	0	1	0	0	0	0.853726	0.931712	0.415216	0	0	1	0	0	0	0
1	0	0.095238	0	0	0	1	0	0	0	0.853492	0.905915	0.373302	0	0	0	0	0	0	0
2	0	0.222222	0	0	0	1	0	0	0	0.793287	0.950408	0.435882	0	0	0	0	0	0	0
3	0	0.363636	0	0	0	1	0	0	0	0.818855	0.939489	0.395215	0	0	0	0	0	0	0
4	0	0.478261	0	0	0	1	0	0	0	0.874647	0.949864	0.585039	0	0	1	0	0	0	0
5	0	0.086957	0	0	0	1	0	0	0	0.775382	0.927934	0.346789	0	0	0	0	0	0	0
6	0	0.789474	0.5	0	0.5	1	0.5	0	0	0.888807	0.969012	0.639729	0	0	0	0	0	0	0
7	0	0.325581	0	0	0	1	0	0	0	0.887681	0.962226	0.600192	0	0	0	0	0	0	0
8	0	0.166667	0	0	0	1	0	0	0	0.821882	0.912634	0.281423	0	0	0	0	0	0	0
9	0	0.526316	0	0	0	1	0	0	0	0.85387	0.94272	0.497609	0	0	0	0	0	0	0
10	0	0.4	0	0	0	1	0	0	0	0.848348	0.930089	0.456144	0	0	0	0	0	0	0
11	0	0.235294	0	0	0	1	0	0	0	0.808145	0.936839	0.363234	0	0	0	0	0	0	0
12	0	0.64	0	0	0	0	0	0	0	0.877505	0.937043	0.588085	0	0	0	0	0	0	0
13	0	0.210526	0	0	0	1	0	0	0	0.798206	0.937352	0.301212	0	0	0	0	0	0	0
14	0	0.153846	0	0	0	1	0	0	0	0.852552	0.951332	0.324095	0	0	0	0	0	0	0
15	0	0.415094	0.333333	0	0.333333	1	0.333333	0	0	0.848466	0.91233	0.51898	0	0	0	0	0	0	0
16	0	0.413793	0	0	0	1	0	0	0	0.878808	0.918175	0.597835	0	0	0	0	0	0	0
17	1	0.486486	0	0	0	1	0	0	1	0.858328	0.946031	0.502548	1	0	1	1	0	1	0
18	0	0.444444	0	0	0	1	0	0	0	0.840684	0.951988	0.434393	1	0	0	0	0	0	0
19	1	0.45614	0	0	0	1	0	0	0	0.843325	0.947244	0.479163	0	0	0	0	0	0	0
20	0	0.243902	0	0	0	1	0	0	0	0.790475	0.943249	0.416183	0	0	1	1	0	1	1
21	1	0.666667	0.5	0	0.5	1	0.5	1	1	0.974595	0.991893	0.842635	1	1	1	1	1	1	1
22	0	0.344828	0	0	0	1	0	0	0	0.82498	0.921624	0.415596	0	0	0	0	0	0	0
23	0	0.235294	0	0	0	0	0	0	0	0.810658	0.935391	0.337568	0	0	0	0	0	0	0
24	0	0.315789	0	0	0	1	0	0	0	0.827992	0.945798	0.364326	0	0	0	0	0	0	0
25	1	0.482759	0.5	0	0.5	1	0.5	1	1	0.953473	0.99183	0.808397	1	1	1	1	1	1	1
26	0	0.378378	0	0	0	1	0	0	0	0.835634	0.896643	0.240176	0	0	0	0	0	0	0
27	1	0.133333	0	0	0	1	0	1	1	0.826448	0.939231	0.468314	0	0	1	1	1	1	1
28	0	0.157895	0	0	0	1	0	0	0	0.877162	0.961465	0.529756	0	0	0	0	0	0	0
29	0	0.580645	0.666667	0.5	0.666667	1	0.666667	0	0	0.874129	0.927989	0.596034	0	0	1	0	0	0	0
30	0	0.516129	0	0	0	1	0	0	0	0.884383	0.937459	0.510098	0	0	1	0	0	0	0
31	0	0.349206	0	0	0	1	0	0	0	0.854388	0.923152	0.48299	0	0	0	0	0	0	0
32	1	0.571429	0.5	0	0.5	1	0.5	0	0	0.913699	0.963602	0.711794	0	0	0	0	0	0	0
33	0	0.285714	0	0	0	1	0	0	0	0.818985	0.943395	0.338329	1	0	1	0	0	0	0
34	0	0.296296	0	0	0	1	0	0	0	0.827959	0.934289	0.349387	0	0	0	0	0	0	0
35	0	0.190476	0	0	0	1	0	0	0	0.765154	0.911019	0.262552	0	0	0	0	0	0	0
36	0	0.235294	0	0	0	1	0	0	0	0.819813	0.929231	0.473018	1	0	0	0	0	0	0
37	0	0.32	0	0	0	1	0	0	0	0.830655	0.940629	0.485188	0	0	0	0	0	0	0
38	0	0.176471	0	0	0	1	0	0	0	0.782204	0.928317	0.285223	0	0	0	0	0	0	0
39	0	0.166667	0	0	0	1	0	0	0	0.776029	0.936785	0.223981	0	0	0	0	0	0	0
40	0	0.16	0	0	0	1	0	0	0	0.815313	0.922692	0.356763	0	0	0	0	0	0	0
41	0	0.235294	0	0	0	1	0	0	0	0.811193	0.922458	0.404556	0	0	0	0	0	0	0
42	1	0.634146	0.5	0	0.5	1	0.5	1	1	0.888068	0.956425	0.56159	1	0	1	1	1	1	1
43	0	0.290323	0	0	0	1	0	0	0	0.820125	0.927646	0.497259	0	0	0	0	0	0	0
44	0	0.35	0	0	0	1	0	0	0	0.793493	0.893607	0.395352	0	0	0	0	0	0	0
45	0	0.222222	0	0	0	1	0	0	0	0.821617	0.935406	0.391025	0	0	0	0	0	0	0
46	0	0.266667	0	0	0	1	0	0	0	0.85866	0.940317	0.484222	0	0	0	0	0	0	0
47	1	0.304348	0	0	0	1	0	0	0	0.856599	0.940346	0.492873	0	0	1	1	0	1	1
48	1	0.088889	0	0	0	1	0	0	0	0.747761	0.885174	0.120857	0	0	1	0	0	0	0
49	0	0.272727	0	0	0	1	0	0	0	0.809682	0.906629	0.396678	0	0	0	0	0	0	0
50	0	0.341463	0	0	0	1	0	0	0	0.812219	0.915578	0.303392	0	0	0	0	0	0	0
51	0	0.451613	0.5	0	0.5	1	0.5	0	0	0.866799	0.950125	0.555136	0	0	0	0	0	0	0
52	0	0.4	0	0	0	1	0	0	0	0.798521	0.914932	0.361097	0	0	0	0	0	0	0
53	0	0.153846	0	0	0	1	0	0	0	0.88953	0.945895	0.628181	0	0	0	0	0	0	0
54	0	0.48	0.5	0	0.5	1	0.5	1	1	0.899723	0.974285	0.601095	0	0	0	0	1	1	0
55	0	0.210526	0	0	0	1	0	0	0	0.814102	0.901635	0.385076	0	0	0	0	0	0	0
56	0	0.418605	0	0	0	1	0	0	0	0.911121	0.939448	0.747555	0	0	0	0	0	0	0
57	0	0.458333	0	0	0	0.5	0	0	0	0.871703	0.958367	0.570895	0	0	0	0	0	0	0
58	1	0.6875	0	0	0	1	0	0	0	0.940424	0.968732	0.755007	1	1	1	1	1	1	0
59	0	0.264151	0	0	0	1	0	0	0	0.850641	0.945843	0.446195	0	0	0	0	0	0	0
60	1	0.25	0	0	0	1	0	0	0	0.754937	0.929971	0.180019	0	0	0	0	0	0	0
61	0	0.827586	0.5	0	0.5	1	0.5	0	0	0.945984	0.966502	0.744249	0	0	0	0	0	0	0
62	1	0.413793	0	0	0	1	0	0	0	0.865604	0.965407	0.506559	0	0	0	0	0	0	0
63	0	0.181818	0	0	0	1	0	0	0	0.84208	0.885785	0.353395	0	0	0	0	0	0	0
64	0	0.333333	0	0	0	1	0	0	0	0.839435	0.960193	0.417175	0	0	0	0	0	0	0
65	0	0.228571	0	0	0	1	0	0	0	0.812955	0.927892	0.28384	0	0	0	0	0	0	0
66	0	0.259259	0	0	0	1	0	0	0	0.843124	0.939294	0.495215	0	0	0	0	0	0	0
67	1	0.526316	0	0	0	1	0	1	1	0.834118	0.96308	0.386177	0	0	1	1	0	1	0
68	0	0.259259	0	0	0	1	0	0	0	0.825661	0.920595	0.456176	0	0	0	0	0	0	0
69	0	0.294118	0	0	0	1	0	0	0	0.809745	0.938918	0.459766	0	0	0	0	0	0	0
70	0	0.27027	0	0	0	1	0	0	0	0.793473	0.915146	0.343791	0	0	0	0	0	0	0
71	0	0.222222	0	0	0	1	0	0	0	0.841319	0.918317	0.398608	0	0	0	0	0	0	0
72	0	0.181818	0	0	0	1	0	0	0	0.756332	0.918478	0.176946	1	0	0	0	0	0	0
73	1	0.425532	0	0	0	1	0	0	0	0.792316	0.925074	0.363543	0	0	0	0	0	0	0
74	1	0.583333	1	0	1	1	1	1	1	0.933764	0.987396	0.811843	1	1	1	1	1	1	1
75	0	0.190476	0	0	0	1	0	0	0	0.798634	0.952661	0.310802	0	0	0	0	0	0	0
76	0	0.390805	0.5	0	0.5	1	0.5	0	0	0.880433	0.937303	0.647737	0	0	0	0	0	0	0
77	0	0.3	0	0	0	0.5	0	0	0	0.819469	0.892893	0.402409	0	0	0	0	0	0	0
78	0	0.307692	0	0	0	1	0	0	0	0.862753	0.959488	0.457247	0	0	0	0	0	0	0
79	1	0.545455	0.333333	0	0.666667	1	0.666667	0	0	0.899002	0.926573	0.630993	1	0	1	0	1	0	0
80	0	0.206897	0	0	0	1	0	0	0	0.881139	0.941599	0.451508	0	0	0	0	0	0	0
81	0	0.26087	0	0	0	1	0	0	0	0.843249	0.94203	0.415533	0	0	0	0	0	0	0
82	0	0.181818	0	0	0	1	0	0	0	0.827578	0.936269	0.43726	0	0	0	0	0	0	0
83	0	0.410256	0	0	0	1	0	0	0	0.827675	0.946845	0.463025	0	0	0	0	0	0	0
84	0	0.243902	0	0	0	1	0	0	0	0.809407	0.927191	0.375153	0	0	0	0	0	0	0
85	0	0.382979	0	0	0	1	0	0	0	0.825072	0.927303	0.47008	0	0	0	0	0	0	0
86	0	0.380952	0	0	0	0.5	0	0	0	0.833196	0.922985	0.304262	0	0	0	0	0	0	0
87	0	0.21978	0	0	0	1	0	0	0	0.800073	0.890735	0.424881	0	0	0	0	0	0	0
88	0	0.309859	0	0	0	1	0	0	0	0.884223	0.919383	0.57248	0	0	1	0	0	0	0
89	1	0.631579	1	0	1	1	1	1	1	0.933671	0.985697	0.805781	1	1	1	1	1	1	1
90	0	0.6	0.5	0	0.5	0.5	0.5	0	0	0.861633	0.947718	0.609064	0	0	0	0	0	0	0
91	1	0.723404	1	0	1	1	1	0	0	0.963935	0.977137	0.870668	1	1	1	1	1	1	1
92	0	0.085106	0	0	0	1	0	0	0	0.741945	0.909253	0.110794	0	0	0	0	0	0	0
93	0	0.352941	0	0	0	1	0	0	0	0.786074	0.89575	0.299071	0	0	0	0	0	0	0
94	0	0.285714	0	0	0	1	0	0	0	0.831252	0.933875	0.294856	0	0	0	0	0	0	0
95	1	0.761905	0	0	0	1	0	0	1	0.966015	0.991228	0.871864	1	0	1	1	0	1	0
96	1	0.755556	0.5	0	0.5	1	0.5	1	0	0.899548	0.945102	0.685958	0	0	1	1	0	1	0
97	0	0.347826	0	0	0	1	0	0	0	0.902575	0.945129	0.393727	0	0	0	0	0	0	0
98	0	0.227273	0	0	0	1	0	0	0	0.825806	0.942086	0.405604	0	0	0	1	0	0	0
99	0	0.418605	0	0	0	1	0	0	0	0.821507	0.910635	0.45097	0	0	0	0	0	0	0

End of preview.

Diagnosis Matching Dataset

Dataset for matching pairs of free-text Russian medical diagnoses. Part of the kilimanj4r0/diagnosis-matching-project.

Files

File	Size	Description
`final-test.csv`	55 MB	Raw diagnosis pairs (272K rows)
`final-test-preprocessed.csv`	77 MB	Cleaned diagnosis pairs
`rag-diagnosis2icd.json`	2.2 MB	Diagnosis → ICD-10 mapping (~16K entries)
`rag-bergamot-index.faiss`	51 MB	FAISS embedding index for RAG
`rag-bergamot-index.pkl`	3.5 MB	FAISS index metadata
`distil-gold.csv`	538 KB	Expert-labeled pairs (4.8K rows)
`distil-silver.csv`	33 MB	Teacher-pseudo-labeled pairs (272K rows)
`distil-test.csv`	305 KB	Test set with features (1.5K rows)
`distil-train-full.csv`	33 MB	Gold + silver combined (277K rows)
`distil-train-isgold-full.csv`	33 MB	Full train + is_gold flag
`distil-train-nondup.csv`	7.8 MB	Deduplicated train (57K rows)
`distil-train-isgold-nondup.csv`	7.7 MB	Deduped train + is_gold
`distil-train-isgold-preprocessed-nondup.csv`	7.5 MB	Final training data
`ablation-train.csv`	567 KB	Feature-engineered train (4.8K rows)
`ablation-test.csv`	171 KB	Feature-engineered test (1.5K rows)

Usage

from huggingface_hub import snapshot_download

path = snapshot_download("sm1rk/diagnosis-matching-project-data", repo_type="dataset")
# Access files: path + "/final-test.csv", etc.

Downloads last month: 63

Total file size:

324 MB