Datasets:

gokhanercan
/

anlamver

License:

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train

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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 4 new columns ({'__index_level_2__', '__index_level_0__', '__index_level_1__', 'QID;W1;W2;Sim;Rel;S;D;R;U;SR;DR;SU;DU;AVG-C;W1F;W2F;AnyOOV;TwoOOV;EstSyn;EstAnt;EstRHigh;EstRMed;EstRLow;EstHyp;EstMer;W1-RWG;W2-RWG;RWMin;W1-DG;W2-DG;DGMax;W1-IG;W2-IG;IGMax'}) and 34 missing columns ({'SU', 'AnyOOV', 'QID', 'EstAnt', 'W1-IG', 'S', 'AVG-C', 'EstRLow', 'EstSyn', 'EstMer', 'EstHyp', 'W1F', 'W1', 'W2', 'SR', 'RWMin', 'IGMax', 'TwoOOV', 'DU', 'W1-DG', 'EstRMed', 'EstRHigh', 'W1-RWG', 'DGMax', 'D', 'W2-DG', 'Sim', 'Rel', 'R', 'W2F', 'W2-IG', 'W2-RWG', 'U', 'DR'}).

This happened while the csv dataset builder was generating data using

hf://datasets/gokhanercan/anlamver/anlamver-final.csv (at revision 7d1c451e44162f9da2a19d1e3c1d545e3c4e327b)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              QID;W1;W2;Sim;Rel;S;D;R;U;SR;DR;SU;DU;AVG-C;W1F;W2F;AnyOOV;TwoOOV;EstSyn;EstAnt;EstRHigh;EstRMed;Est (... 74 chars omitted): string
              __index_level_0__: string
              __index_level_1__: string
              __index_level_2__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__", "__index_level_1__", "__' + 1060
              to
              {'QID': Value('int64'), 'W1': Value('string'), 'W2': Value('string'), 'Sim': Value('float64'), 'Rel': Value('float64'), 'S': Value('bool'), 'D': Value('bool'), 'R': Value('bool'), 'U': Value('bool'), 'SR': Value('bool'), 'DR': Value('bool'), 'SU': Value('bool'), 'DU': Value('bool'), 'AVG-C': Value('float64'), 'W1F': Value('float64'), 'W2F': Value('int64'), 'AnyOOV': Value('bool'), 'TwoOOV': Value('bool'), 'EstSyn': Value('int64'), 'EstAnt': Value('int64'), 'EstRHigh': Value('int64'), 'EstRMed': Value('int64'), 'EstRLow': Value('int64'), 'EstHyp': Value('int64'), 'EstMer': Value('int64'), 'W1-RWG': Value('int64'), 'W2-RWG': Value('int64'), 'RWMin': Value('int64'), 'W1-DG': Value('int64'), 'W2-DG': Value('int64'), 'DGMax': Value('int64'), 'W1-IG': Value('int64'), 'W2-IG': Value('int64'), 'IGMax': 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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 ({'__index_level_2__', '__index_level_0__', '__index_level_1__', 'QID;W1;W2;Sim;Rel;S;D;R;U;SR;DR;SU;DU;AVG-C;W1F;W2F;AnyOOV;TwoOOV;EstSyn;EstAnt;EstRHigh;EstRMed;EstRLow;EstHyp;EstMer;W1-RWG;W2-RWG;RWMin;W1-DG;W2-DG;DGMax;W1-IG;W2-IG;IGMax'}) and 34 missing columns ({'SU', 'AnyOOV', 'QID', 'EstAnt', 'W1-IG', 'S', 'AVG-C', 'EstRLow', 'EstSyn', 'EstMer', 'EstHyp', 'W1F', 'W1', 'W2', 'SR', 'RWMin', 'IGMax', 'TwoOOV', 'DU', 'W1-DG', 'EstRMed', 'EstRHigh', 'W1-RWG', 'DGMax', 'D', 'W2-DG', 'Sim', 'Rel', 'R', 'W2F', 'W2-IG', 'W2-RWG', 'U', 'DR'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/gokhanercan/anlamver/anlamver-final.csv (at revision 7d1c451e44162f9da2a19d1e3c1d545e3c4e327b)
              
              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)

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QID int64	W1 string	W2 string	Sim float64	Rel float64	S bool	D bool	R bool	U bool	SR bool	DR bool	SU bool	DU bool	AVG-C float64	W1F float64	W2F int64	AnyOOV bool	TwoOOV bool	EstSyn int64	EstAnt int64	EstRHigh int64	EstRMed int64	EstRLow int64	EstHyp int64	EstMer int64	W1-RWG int64	W2-RWG int64	RWMin int64	W1-DG int64	W2-DG int64	DGMax int64	W1-IG int64	W2-IG int64	IGMax int64
1	mızrap	barınak	0.166667	0.083333	false	true	false	true	false	false	false	true	6.15	150	890	false	false	0	0	0	0	1	0	0	2	3	2	0	1	1	0	0	0
2	kırmızı	gül	1.166667	7.166667	false	true	true	false	false	true	false	false	null	56,298	64,994	false	false	0	0	1	0	0	0	0	5	5	5	0	0	0	0	0	0
3	suçlu	şüphe	2.416667	7	false	true	true	false	false	true	false	false	4.69	13,535	9,721	false	false	0	0	1	0	0	0	0	4	4	4	1	0	1	0	0	0
4	laikçiler	sekülerizmciler	9	9.416667	true	false	true	false	true	false	false	false	null	66	0	true	false	1	0	1	0	0	0	0	2	0	0	2	0	2	0	0	0
5	bitki	zeytin	3.666667	6.75	false	true	true	false	false	true	false	false	6.6	11,980	7,488	false	false	0	0	0	1	0	1	0	4	4	4	0	0	0	0	0	0
6	serin	soğuk	7.25	8.833333	true	false	true	false	true	false	false	false	5.03	3,675	37,223	false	false	1	0	1	0	0	0	0	4	5	4	0	0	0	0	0	0
7	gül	pamuk	2.083333	3.583333	false	true	false	true	false	false	false	true	6.79	64,994	17,842	false	false	0	0	0	1	0	0	0	5	4	4	0	0	0	0	0	0
8	içki	alkol	7.75	9.083333	true	false	true	false	true	false	false	false	6.44	16,126	16,236	false	false	0	0	1	0	0	1	0	4	4	4	1	0	1	0	0	0
9	köle	serbest	0.333333	6.5	false	true	true	false	false	true	false	false	null	3,000	87,614	false	false	0	1	1	0	0	0	0	3	5	3	0	0	0	0	0	0
10	saray	pıhtı	0.333333	0.166667	false	true	false	true	false	false	false	true	6.56	21,135	325	false	false	0	0	0	0	1	0	0	4	2	2	0	0	0	0	0	0
11	affedişi	bağışlayışı	9.083333	9	true	false	true	false	true	false	false	false	null	1	0	true	false	1	0	1	0	0	0	0	1	0	0	2	2	2	1	1	1
12	sofra	zeytin	1.75	7.166667	false	true	true	false	false	true	false	false	6.37	2,120	7,488	false	false	0	0	0	1	0	0	1	3	4	3	0	0	0	0	0	0
13	eşya	gözlük	2.333333	6	false	true	true	false	false	true	false	false	6.56	18,174	3,238	false	false	0	0	0	1	0	1	0	4	3	3	0	1	1	0	0	0
14	meslek	mühendis	2.416667	6.916667	false	true	true	false	false	true	false	false	null	63,185	7,509	false	false	0	0	0	1	0	1	0	5	4	4	0	0	0	0	0	0
15	savunmaktaydılar	korumaktaydılar	8.166667	8.5	true	false	true	false	true	false	false	false	null	5	2	false	false	1	0	1	0	0	0	0	1	1	1	1	1	1	2	2	2
16	peynir	ipek	0.833333	0.5	false	true	false	true	false	false	false	true	6.88	7,434	10,942	false	false	0	0	0	0	1	0	0	4	4	4	0	0	0	0	0	0
17	turizm	seyahat	4.5	8.25	false	true	true	false	false	true	false	false	3.28	55,821	15,936	false	false	0	0	1	0	0	0	0	5	4	4	1	0	1	0	0	0
18	tıknaz	uyumlu	0.166667	0.833333	false	true	false	true	false	false	false	true	null	124	18,774	false	false	0	0	0	0	1	0	0	2	4	2	0	1	1	0	0	0
19	kemalci	atatürkist	8.75	9.636364	true	false	true	false	true	false	false	false	null	59	0	true	false	1	0	1	0	0	0	0	2	0	0	1	1	1	0	0	0
20	polis	yardım	3.333333	7.583333	false	true	true	false	false	true	false	false	6.55	93,497	100,548	false	false	0	0	0	1	0	0	0	5	5	5	0	0	0	0	0	0
21	gürültü	otobüs	0.916667	5	false	true	true	false	false	true	false	false	5.29	6,332	15,906	false	false	0	0	0	1	0	0	0	4	4	4	2	0	2	0	0	0
22	temiz	titiz	7.833333	9.166667	true	false	true	false	true	false	false	false	3.89	23,343	4,640	false	false	0	0	1	0	0	0	0	4	4	4	0	0	0	0	0	0
23	kitaplıklar	kitap	3.5	8.75	false	true	true	false	false	true	false	false	null	84	70,642	false	false	0	0	1	0	0	0	1	2	5	2	1	0	1	1	0	1
24	böcek	karınca	3.5	7.333333	false	true	true	false	false	true	false	false	null	2,994	2,158	false	false	0	0	0	1	0	0	0	3	3	3	0	0	0	0	0	0
25	gazete	kitap	4.916667	7.166667	false	true	true	false	false	true	false	false	6.81	49,607	70,642	false	false	0	0	0	1	0	0	0	5	5	5	0	0	0	0	0	0
26	okul	kordon	0.25	1.083333	false	true	false	true	false	false	false	true	6.6	55,774	1,701	false	false	0	0	0	0	1	0	0	5	3	3	0	0	0	0	0	0
27	ibadet	oruç	5.416667	8.25	true	false	true	false	true	false	false	false	2.67	5,116	7,029	false	false	0	0	1	0	0	1	0	4	4	4	0	0	0	0	0	0
28	varlık	hayvan	2.416667	5.5	false	true	true	false	false	true	false	false	3.78	14,909	22,519	false	false	0	0	0	1	0	1	0	4	4	4	1	0	1	0	0	0
29	tüketim	üretim	0.25	8.5	false	true	true	false	false	true	false	false	3.73	24,279	70,594	false	false	0	1	1	0	0	0	0	4	5	4	1	1	1	0	0	0
30	sihirbaz	büyücü	7.583333	7.333333	true	false	true	false	true	false	false	false	null	943	922	false	false	1	0	0	1	0	0	0	3	3	3	1	1	1	0	0	0
31	giysi	gömlek	4.333333	7.416667	false	true	true	false	false	true	false	false	6.54	2,773	4,340	false	false	0	0	0	1	0	1	0	3	4	3	1	0	1	0	0	0
32	hayvan	tavuk	3.333333	7.25	false	true	true	false	false	true	false	false	6.49	22,519	11,603	false	false	0	0	0	1	0	1	0	4	4	4	0	0	0	0	0	0
33	sevgili	çiçek	1.166667	6.5	false	true	true	false	false	true	false	false	4.69	37,193	33,522	false	false	0	0	1	0	0	0	0	5	5	5	1	0	1	0	0	0
34	turizm	ekonomi	2	5.833333	false	true	true	false	false	true	false	false	3.28	55,821	72,584	false	false	0	0	1	0	0	0	0	5	5	5	1	0	1	0	0	0
35	eski	yeni	0.166667	9	false	true	true	false	false	true	false	false	null	249,377	770,145	false	false	0	1	1	0	0	0	0	5	5	5	0	0	0	0	0	0
36	yüzük	sevgili	1.416667	6.083333	false	true	true	false	false	true	false	false	6.81	3,197	37,193	false	false	0	0	0	1	0	0	0	3	5	3	0	1	1	0	0	0
37	primatçaları	maymunsuları	6.333333	8.166667	true	false	true	false	true	false	false	false	null	0	0	true	true	1	0	1	0	0	0	0	0	0	0	1	2	2	2	2	2
38	bilimci	faiz	0.25	0.333333	false	true	false	true	false	false	false	true	5.46	1,213	96,787	false	false	0	0	0	0	1	0	0	3	5	3	2	0	2	0	0	0
39	gündüz	öğle	4.5	8.166667	false	true	true	false	false	true	false	false	null	16,396	14,001	false	false	0	0	1	0	0	0	0	4	4	4	0	0	0	0	0	0
40	otomobil	taksi	5.833333	8.583333	true	false	true	false	true	false	false	false	null	46,731	7,692	false	false	0	0	1	0	0	1	0	5	4	4	0	0	0	0	0	0
41	çare	sos	1	1.25	false	true	false	true	false	false	false	true	null	12,319	2,820	false	false	0	0	0	0	1	0	0	4	3	3	0	0	0	0	0	0
42	evrensel	sos	0.583333	0.916667	false	true	false	true	false	false	false	true	2.2	15,287	2,820	false	false	0	0	0	0	1	0	0	4	3	3	1	0	1	0	0	0
43	viski	varlık	0.833333	0.833333	false	true	false	true	false	false	false	true	6.83	1,693	14,909	false	false	0	0	0	1	0	0	0	3	4	3	0	1	1	0	0	0
44	alacaklanmak	tabure	0.25	0.083333	false	true	false	true	false	false	false	true	null	0	136	true	false	0	0	0	0	1	0	0	0	2	0	1	0	1	1	0	1
45	sebze	enginar	3.583333	7.25	false	true	true	false	false	true	false	false	6.71	12,357	1,068	false	false	0	0	0	1	0	1	0	4	3	3	0	0	0	0	0	0
46	damar	rahatsız	0.583333	3.75	false	true	false	true	false	false	false	true	6.52	15,392	35,800	false	false	0	0	0	1	0	0	0	4	5	4	0	1	1	0	0	0
47	öğrenci	yağcılık	0.416667	4	false	true	false	true	false	false	false	true	6.18	67,682	163	false	false	0	0	0	1	0	0	0	5	2	2	1	2	2	0	0	0
48	bitki	sebze	3.666667	7.333333	false	true	true	false	false	true	false	false	6.6	11,980	12,357	false	false	0	0	0	1	0	0	1	4	4	4	0	0	0	0	0	0
49	zarar	tımarhane	0.333333	1.083333	false	true	false	true	false	false	false	true	2.41	70,292	113	false	false	0	0	0	0	1	0	0	5	2	2	0	1	1	0	0	0
50	kelebek	eski	0.166667	0.083333	false	true	false	true	false	false	false	true	6.8	3,657	249,377	false	false	0	0	0	0	1	0	0	4	5	4	0	0	0	0	0	0
51	zaman	gündüz	2.5	7.166667	false	true	true	false	false	true	false	false	2.19	495,060	16,396	false	false	0	0	0	1	0	1	0	5	4	4	0	0	0	0	0	0
52	meslek	polis	2.833333	7.083333	false	true	true	false	false	true	false	false	null	63,185	93,497	false	false	0	0	0	1	0	1	0	5	5	5	0	0	0	0	0	0
53	su	yağmur	4.25	8	false	true	true	false	false	true	false	false	6.8	129,707	22,203	false	false	0	0	1	0	0	0	1	5	4	4	0	0	0	0	0	0
54	nefes	soyut	0.666667	0.833333	false	true	false	true	false	false	false	true	5.68	20,542	4,801	false	false	0	0	0	0	1	0	0	4	4	4	0	0	0	0	0	0
55	yedigen	aykırı	0.25	0.416667	false	true	false	true	false	false	false	true	null	0	41,324	true	false	0	0	0	0	1	0	0	0	5	0	1	0	1	0	0	0
56	titiz	pimpirikli	6.25	6.833333	true	false	true	false	true	false	false	false	2.48	4,640	25	false	false	1	0	1	0	0	0	0	4	1	1	0	1	1	0	0	0
57	fotoğraf	karton	1	3.833333	false	true	false	true	false	false	false	true	6.62	80,225	1,467	false	false	0	0	0	1	0	0	0	5	3	3	0	0	0	0	0	0
58	tutsak	serbest	0.25	8.416667	false	true	true	false	false	true	false	false	null	1,783	87,614	false	false	0	1	0	1	0	0	0	3	5	3	1	0	1	0	0	0
59	fazlalık	ısınmış	0.166667	1.333333	false	true	false	true	false	false	false	true	3.99	1,000	273	false	false	0	0	0	0	1	0	0	3	2	2	1	2	2	0	0	0
60	laikçiler	tepe	0.25	0.454545	false	true	false	true	false	false	false	true	null	66	7,356	false	false	0	0	0	0	1	0	0	2	4	2	2	0	2	0	0	0
61	suçlu	bağışlayışı	0.416667	6.25	false	true	true	false	false	true	false	false	4.69	13,535	0	true	false	0	0	1	0	0	0	0	4	0	0	1	2	2	0	1	1
62	serbest	radyo	0.166667	1.727273	false	true	false	true	false	false	false	true	2.09	87,614	31,478	false	false	0	0	0	0	1	0	0	5	4	4	0	0	0	0	0	0
63	uzun	tıknaz	0.166667	4.333333	false	true	false	true	false	false	false	true	null	230,525	124	false	false	0	1	1	0	0	0	0	5	2	2	0	0	0	0	0	0
64	kan	pıhtı	2.916667	7.833333	false	true	true	false	false	true	false	false	6.7	54,264	325	false	false	0	0	0	1	0	0	0	5	2	2	0	0	0	0	0	0
65	delilim	ispatım	9.166667	9.5	true	false	true	false	true	false	false	false	null	11	5	false	false	1	0	1	0	0	0	0	1	1	1	0	0	0	1	1	1
66	erkekçene	eksik	0.166667	0.5	false	true	false	true	false	false	false	true	null	1	29,303	false	false	0	0	0	0	1	0	0	1	4	1	2	1	2	0	0	0
67	delilim	deli	0.666667	0.833333	false	true	false	true	false	false	false	true	null	11	15,669	false	false	0	0	0	0	1	0	0	1	4	1	0	0	0	1	0	1
68	üşengeç	üşengen	8.25	7.833333	true	false	true	false	true	false	false	false	3.06	47	0	true	false	1	0	1	0	0	0	0	2	0	0	1	1	1	0	0	0
69	gül	dostçasına	0.25	2.083333	false	true	false	true	false	false	false	true	6.79	64,994	0	true	false	0	0	0	1	0	0	0	5	0	0	0	0	0	0	0	0
70	kum	karınca	1.166667	4.5	false	true	false	true	false	false	false	true	6.62	6,726	2,158	false	false	0	0	0	1	0	0	0	4	3	3	0	0	0	0	0	0
71	tutsak	köle	7	9.25	true	false	true	false	true	false	false	false	null	1,783	3,000	false	false	1	0	1	0	0	0	0	3	3	3	1	0	1	0	0	0
72	kazanç	aykırı	0.166667	0.666667	false	true	false	true	false	false	false	true	4.1	12,123	41,324	false	false	0	0	0	0	1	0	0	4	5	4	1	0	1	0	0	0
73	içki	viski	4.25	8.583333	false	true	true	false	false	true	false	false	6.44	16,126	1,693	false	false	0	0	1	0	0	1	0	4	3	3	1	0	1	0	0	0
74	üşengen	yedigen	0.166667	0.25	false	true	false	true	false	false	false	true	0	0	0	true	true	0	0	0	0	1	0	0	0	0	0	1	1	1	0	0	0
75	mutfak	kahvaltı	2	7.083333	false	true	true	false	false	true	false	false	6.75	9,902	6,430	false	false	0	0	0	1	0	0	0	4	4	4	0	0	0	0	0	0
76	çamaşır	külot	4.75	8	false	true	true	false	false	true	false	false	null	4,839	291	false	false	1	0	1	0	0	1	0	4	2	2	0	0	0	0	0	0
77	yorgun	yorgunluk	4.916667	8.916667	false	true	true	false	false	true	false	false	3.41	7,932	4,796	false	false	0	0	1	0	0	0	0	4	4	4	1	2	2	0	0	0
78	transparan	kemik	0.166667	0.583333	false	true	false	true	false	false	false	true	null	597	9,289	false	false	0	0	0	0	1	0	1	3	4	3	0	0	0	0	0	0
79	muz	yoğurt	1.166667	3.416667	false	true	false	true	false	false	false	true	6.92	2,917	5,450	false	false	0	0	0	1	0	0	0	3	4	3	0	0	0	0	0	0
80	damar	kan	2.333333	8.416667	false	true	true	false	false	true	false	false	6.52	15,392	54,264	false	false	0	0	1	0	0	0	1	4	5	4	0	0	0	0	0	0
81	ilkellik	cenin	0.333333	1.416667	false	true	false	true	false	false	false	true	null	167	1,560	false	false	0	0	0	0	1	0	0	2	3	2	0	0	0	0	0	0
82	temiz	kirlice	0.25	7.333333	false	true	true	false	false	true	false	false	3.89	23,343	0	true	false	0	1	1	0	0	0	0	4	0	0	0	1	1	0	0	0
83	modernite	öncülük	1.916667	5.333333	false	true	true	false	false	true	false	false	null	560	4,570	false	false	0	0	0	1	0	0	0	3	4	3	0	2	2	0	0	0
84	peşinatsız	borçlanmak	1.416667	6	false	true	true	false	false	true	false	false	3.83	127	528	false	false	0	0	1	0	0	0	0	2	3	2	2	1	2	0	1	1
85	öğrenci	kitap	1.416667	7.333333	false	true	true	false	false	true	false	false	6.18	67,682	70,642	false	false	0	0	1	0	0	0	0	5	5	5	1	0	1	0	0	0
86	mühendis	bilişim	2.333333	6.833333	false	true	true	false	false	true	false	false	5.49	7,509	19,208	false	false	0	0	0	1	0	0	0	4	4	4	0	2	2	0	0	0
87	zeki	çocuk	0.833333	5.25	false	true	true	false	false	true	false	false	2.29	25,139	137,866	false	false	0	0	0	1	0	0	0	4	5	4	0	0	0	0	0	0
88	avare	başıboş	8.416667	9.25	true	false	true	false	true	false	false	false	3.07	460	1,234	false	false	1	0	1	0	0	0	0	3	3	3	0	0	0	0	0	0
89	tren	inançlılık	0.166667	0.166667	false	true	false	true	false	false	false	true	6.9	14,751	6	false	false	0	0	0	0	1	0	0	4	1	1	0	2	2	0	0	0
90	mücevher	şahane	0.5	2.75	false	true	false	true	false	false	false	true	null	2,332	3,655	false	false	0	0	0	1	0	0	0	3	4	3	0	0	0	0	0	0
91	başladılarsa	bitirdilerse	0.083333	7.916667	false	true	true	false	false	true	false	false	null	19	5	false	false	0	1	1	0	0	0	0	1	1	1	0	1	1	2	0	2
92	keşiş	köle	0.583333	1.833333	false	true	false	true	false	false	false	true	null	306	3,000	false	false	0	0	0	0	1	0	0	2	3	2	0	0	0	0	0	0
93	palto	ceket	6.75	8	true	false	true	false	true	false	false	false	6.77	855	2,581	false	false	1	0	1	0	0	0	0	3	3	3	0	0	0	0	0	0
94	oksijen	su	2	7.666667	false	true	true	false	false	true	false	false	5.69	6,174	129,707	false	false	0	0	0	1	0	0	0	4	5	4	0	0	0	0	0	0
95	taşıt	tren	3.583333	8.166667	false	true	true	false	false	true	false	false	6.63	10,701	14,751	false	false	0	0	0	1	0	1	0	4	4	4	1	0	1	0	0	0
96	kıyı	tepe	0.916667	4.083333	false	true	false	true	false	false	false	true	null	5,868	7,356	false	false	0	0	0	1	0	0	0	4	4	4	0	0	0	0	0	0
97	adalet	vicdan	2.833333	6.5	false	true	true	false	false	true	false	false	null	59,379	5,873	false	false	0	0	0	1	0	0	0	5	4	4	0	0	0	0	0	0
98	rahatsız	alışkın	0.166667	4.416667	false	true	false	true	false	false	false	true	null	35,800	1,678	false	false	0	0	0	1	0	0	0	5	3	3	1	2	2	0	0	0
99	kavramsallaştırsın	soyut	1	4.818182	false	true	false	true	false	false	false	true	null	0	4,801	true	false	0	0	1	0	0	0	0	0	4	0	2	0	2	1	0	1
100	hayat	fani	1.583333	7.083333	false	true	true	false	false	true	false	false	3	65,846	1,028	false	false	0	0	1	0	0	0	0	5	3	3	0	0	0	0	0	0

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