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LLE

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train · 596 rows

dataset_name stringlengths 3 40	text_leaks_train_wrt_test int64 0 19.2k	text_leaks_valididation_wrt_test stringlengths 1 4	text_duplication_train int64 0 69.3k	text_duplication_valididation stringlengths 1 5	text_duplication_test int64 0 20.3k	text_test_biased stringlengths 4 7	text_and_label_leaks_train_wrt_test int64 0 19.2k	text_and_label_leaks_valididation_wrt_test stringlengths 1 4	text_and_label_duplication_train int64 0 68.8k	text_and_label_duplication_valididation stringlengths 1 5	text_and_label_duplication_test int64 0 20.2k	text_and_label_test_biased stringlengths 4 7	difference_annotation_in_train_and_valididation_splits float64 0 1.39k
ag_news	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
ar_sarcasm	130	NR	259	NR	16	6.919%	118	NR	218	NR	13	6.209%	12
banking77	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
billsum	0	NR	8	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
cdt	1	NR	14	NR	0	0.1%	0	NR	13	NR	0	0.0%	1
cfq,mcd1	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
cfq,mcd2	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
cfq,mcd3	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
cuad	0	NR	5,722	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
dbpedia_14	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
dbrd	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
definite_pronoun_resolution	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
dyk	0	NR	1	NR	0	0.0%	0	NR	1	NR	0	0.0%	0
emo	12	NR	237	NR	1	0.236%	8	NR	146	NR	0	0.145%	4
gnad10	1	NR	1	NR	0	0.097%	1	NR	0	NR	0	0.097%	0
gsm8k,main	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
gsm8k,socratic	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
hebrew_sentiment,morph	1,230	NR	2,740	NR	193	55.695%	1,228	NR	2,736	NR	193	55.616%	2
imdb	123	NR	96	NR	199	1.288%	123	NR	96	NR	199	1.288%	0
kinnews_kirnews,kinnews_cleaned	678	NR	7,939	NR	1,568	52.797%	643	NR	7,815	NR	1,552	51.598%	35
kinnews_kirnews,kirnews_cleaned	616	NR	1,940	NR	242	92.958%	631	NR	1,898	NR	225	92.741%	15
kor_3i4k	576	NR	3,307	NR	57	10.341%	550	NR	3,121	NR	54	9.868%	26
kor_hate	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
kor_sarcasm	4	NR	36	NR	0	1.329%	4	NR	36	NR	0	1.329%	0
labr	65	NR	222	NR	13	2.658%	66	NR	196	NR	10	2.589%	1
laroseda	7	NR	11	NR	0	0.233%	7	NR	11	NR	0	0.233%	0
limit	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
metrec	23	NR	74	NR	3	0.313%	23	NR	74	NR	3	0.313%	0
msra_ner	1	NR	0	NR	5	0.174%	1	NR	0	NR	5	0.174%	0
nsmc	797	NR	3,817	NR	842	3.278%	781	NR	3,659	NR	794	3.15%	16
offenseval2020_tr	1	NR	9	NR	0	0.028%	1	NR	9	NR	0	0.028%	0
persian_ner,fold1	6	NR	5	NR	2	0.312%	6	NR	4	NR	2	0.312%	0
persian_ner,fold2	5	NR	7	NR	1	0.234%	4	NR	7	NR	1	0.195%	1
persian_ner,fold3	6	NR	6	NR	1	0.273%	5	NR	6	NR	1	0.234%	1
poleval2019_cyberbullying,task01	1	NR	14	NR	0	0.1%	1	NR	13	NR	0	0.1%	0
poleval2019_cyberbullying,task02	1	NR	14	NR	0	0.1%	1	NR	13	NR	0	0.1%	0
psc	0	NR	1	NR	4	0.371%	0	NR	1	NR	4	0.371%	0
ro_sent	56	NR	1,388	NR	162	1.981%	56	NR	1,387	NR	162	1.981%	0
scan,addprim_jump	0	NR	1,466	NR	0	0.0%	0	NR	1,466	NR	0	0.0%	0
scan,addprim_turn_left	0	NR	2,188	NR	0	0.0%	0	NR	2,188	NR	0	0.0%	0
scan,filler_num0	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
scan,filler_num1	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
scan,filler_num2	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
scan,filler_num3	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
scan,length	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
scan,simple	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
scan,template_around_right	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
scan,template_jump_around_right	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
scan,template_opposite_right	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
scan,template_right	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
swahili_news	34	NR	0	NR	0	0.463%	34	NR	0	NR	0	0.463%	0
swedish_ner_corpus	17	NR	61	NR	10	1.101%	16	NR	60	NR	9	1.019%	1
trec	10	NR	71	NR	0	2.0%	10	NR	71	NR	0	2.0%	0
tsac	319	NR	1,304	NR	168	14.324%	316	NR	1,294	NR	167	14.206%	3
tweets_hate_speech_detection	683	NR	2,435	NR	1,068	10.182%	0	NR	2,434	NR	1,068	6.21%	683
urdu_fake_news	1	NR	4	NR	1	0.763%	1	NR	4	NR	0	0.382%	0
web_questions	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
wongnai_reviews	2	NR	7	NR	1	0.048%	1	NR	7	NR	0	0.016%	1
yelp_review_full	0	NR	0	NR	0	0.0%	0	NR	0	NR	0	0.0%	0
acronym_identification	8	1	42	2	2	0.571%	0	0	29	2	2	0.114%	9
adversarial_qa,adversarialQA	0	0	35	0	0	0.0%	0	0	25	0	0	0.0%	0
adversarial_qa,dbert	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
adversarial_qa,dbidaf	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
adversarial_qa,droberta	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
aeslc	0	108	913	140	140	7.345%	0	102	865	140	134	7.03%	6
allegro_reviews	16	4	478	8	2	1.789%	0	0	445	8	2	0.199%	20
allocine	24	15	539	52	72	0.48%	23	15	534	52	72	0.475%	1
amttl	31	32	92	14	13	4.846%	15	19	79	14	13	3.084%	29
aqua_rat,raw	0	0	1	0	0	0.0%	0	0	1	0	0	0.0%	0
assin,full	1	0	0	0	0	0.025%	1	0	0	0	0	0.025%	0
assin,ptbr	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
assin,ptpt	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
assin2	0	0	50	0	12	0.49%	0	0	46	0	11	0.449%	0
bbc_hindi_nli	8	0	48	0	0	0.309%	8	0	46	0	0	0.309%	0
bc2gm_corpus	32	15	76	17	23	1.1%	30	15	74	17	22	1.04%	2
bsd_ja_en	85	35	967	30	39	5.849%	65	18	646	30	20	4.009%	37
catalonia_independence,catalan	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
catalonia_independence,spanish	1	3	3	0	0	0.05%	0	0	0	0	0	0.0%	4
cbt,CN	0	0	243	0	0	0.0%	0	0	243	0	0	0.0%	0
cbt,NE	0	0	211	0	0	0.0%	0	0	211	0	0	0.0%	0
cbt,P	0	0	465	0	0	0.0%	0	0	465	0	0	0.0%	0
cbt,V	0	0	143	0	0	0.0%	0	0	143	0	0	0.0%	0
cdsc,cdsc-e	0	0	13	0	2	0.2%	0	0	13	0	2	0.2%	0
cdsc,cdsc-r	0	0	13	0	2	0.2%	0	0	2	0	2	0.2%	0
clinc_oos,imbalanced	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
clinc_oos,plus	2	0	0	0	0	0.036%	0	0	0	0	0	0.0%	2
clinc_oos,small	1	0	0	0	0	0.018%	0	0	0	0	0	0.0%	1
clue,afqmc	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
clue,c3	2	0	0	0	0	0.123%	0	0	0	0	0	0.0%	2
clue,chid	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
clue,cluewsc2020	0	0	857	200	1,150	44.678%	0	0	492	200	1,150	44.678%	0
clue,cmnli	0	0	572	6	5	0.036%	0	0	370	6	5	0.036%	0
clue,cmrc2018	0	0	0	0	1	0.05%	0	0	0	0	1	0.05%	0
clue,csl	0	1	16,046	2408	2,404	80.133%	0	0	12,092	2408	2,404	80.133%	1
clue,drcd	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
clue,iflytek	259	73	708	50	37	11.385%	0	0	352	50	37	1.423%	332
clue,ocnli	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0
clue,tnews	1	0	3,634	235	1,174	11.75%	0	0	3,084	235	1,174	11.74%	1
cnn_dailymail,3.0.0	0	0	3,108	0	2	0.017%	0	0	3,098	0	2	0.017%	0
code_x_glue_cc_clone_detection_poj104	0	500	5	0	0	0.0%	0	500	0	0	0	0.0%	0

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LLE : Leaks, leaks everywhere

This dataset lists the presence or absence of leaks and duplicate data in 596 datasets from the Hugging Face Hub.

For more information, please consult the following blog post.

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Number of rows:

596