id
stringlengths
1
5
text
stringlengths
1
1.38k
subtask_a
class label
2 classes
subtask_b
class label
3 classes
subtask_c
class label
4 classes
0
Lule e eger e rrazikshme,ato frutat kan helm.
1NOT
2no label
3no label
1
Kungull eshte
1NOT
2no label
3no label
2
Kungull
1NOT
2no label
3no label
3
Iriq Bio
1NOT
2no label
3no label
4
Eshte kungull
1NOT
2no label
3no label
5
Ed rama me mjekerr๐Ÿ˜‰
1NOT
2no label
3no label
6
kajota
1NOT
2no label
3no label
7
PYETE SPIROPALIN se ajo e di
1NOT
2no label
3no label
8
Patate
1NOT
2no label
3no label
9
Dardhe Me Stil Iriqi๐Ÿ˜‚๐Ÿ˜‚
1NOT
2no label
3no label
10
Kungull eshte
1NOT
2no label
3no label
11
Dhe un kam ne shpi dhe e bej burek sepse eshte shume i mire per cdo loje semundje @joqalbanian
1NOT
2no label
3no label
12
Patate kineze
1NOT
2no label
3no label
13
eshte kungull
1NOT
2no label
3no label
14
Quhet patate
1NOT
2no label
3no label
15
Kungull
1NOT
2no label
3no label
16
Kungull eshte
1NOT
2no label
3no label
17
Patate arabe
1NOT
2no label
3no label
18
patate e embek ka shije si kungulli i vogel
1NOT
2no label
3no label
19
๐Ÿ˜˜
1NOT
2no label
3no label
20
Kungull
1NOT
2no label
3no label
21
dardhรซ me gjรซmba
1NOT
2no label
3no label
22
Dardh po I ka vdek berberi
1NOT
2no label
3no label
23
Dardh me mbiemer kivi๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚
1NOT
2no label
3no label
24
Patate
1NOT
2no label
3no label
25
Patate me ferra asht se kam edhe un nshpi
1NOT
2no label
3no label
26
Eshte patate e embel
1NOT
2no label
3no label
27
Se nuk e di
1NOT
2no label
3no label
28
Nuk asht frut ai
1NOT
2no label
3no label
29
Kajota
1NOT
2no label
3no label
30
Kungull o popull kungull
0OFF
0TIN
1GRP
31
Patate e embel quhet
1NOT
2no label
3no label
32
@taku_begaj ca esht ky vlla ๐Ÿ˜…๐Ÿ˜…๐Ÿ˜… mua m duket kungull grek ๐Ÿ˜…๐Ÿ˜…
0OFF
0TIN
1GRP
33
Patate po e llojt qe rritet si kivi ose kungulli varet neper mure osht shm e mir
1NOT
2no label
3no label
34
Qershi
1NOT
2no label
3no label
35
Kajota eshte perime ka formen e nje dardhe dhe esht si patate e embel
1NOT
2no label
3no label
36
Kungull spanjoll, gatuhet tave me patate ,,etj normal.
1NOT
2no label
3no label
37
Dardha gjirokastrite
1NOT
2no label
3no label
38
kungull me gjemba ndryshe quhen kajota
1NOT
2no label
3no label
39
Kungull
1NOT
2no label
3no label
40
Patate indiane๐Ÿ‘Œ
1NOT
2no label
3no label
41
Kajot
1NOT
2no label
3no label
42
Qershi
1NOT
2no label
3no label
43
patate eshte
1NOT
2no label
3no label
44
Ky. Fruti. Eshte๐Ÿ˜Ž kajota
1NOT
2no label
3no label
45
Dardh e pa ruarr
1NOT
2no label
3no label
46
๐Ÿคฃ๐Ÿคฃ๐Ÿคฃ๐Ÿคฃ๐Ÿคฃ
1NOT
2no label
3no label
47
Tope me lesh.
0OFF
1UNT
3no label
48
O raka esht avokado
0OFF
0TIN
1GRP
49
Kungull
1NOT
2no label
3no label
50
kungull, shumรซ i shijshรซm nรซ gatim
1NOT
2no label
3no label
51
Kjo quhet rilindje. Ose koqe rame me shkurt.
0OFF
0TIN
1GRP
52
Dardh gjirokastre,qe vetem ta shohesh e mos ta hash kurr
1NOT
2no label
3no label
53
Esht patate vec se ka me shum vitamina dhe shije se patatet origjinale
1NOT
2no label
3no label
54
per sa koh eshte rama ne pushtet keto cudira do ndodhin ... prite kur me dal ndonje domatme me baluke
1NOT
2no label
3no label
55
Kungull
1NOT
2no label
3no label
56
Patate๐Ÿฅ”๐Ÿฅ”๐Ÿฅ”
1NOT
2no label
3no label
57
Dardh e eger hahaah๐Ÿ˜‚๐Ÿคฃ๐Ÿ˜‚
1NOT
2no label
3no label
58
Patate eger mo vlla se kam mbjell te kopshti sa te dush๐Ÿ˜‚๐Ÿ˜‚
1NOT
2no label
3no label
59
kungull
1NOT
2no label
3no label
60
Kungull e shartuar me kivi,. Kungullkivi RAMA IK ๐Ÿ˜œ๐Ÿ˜œ๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚@igli_bala ๐Ÿ˜‚ ๐Ÿ˜‚ ๐Ÿ˜‚ ๐Ÿ˜‚
1NOT
2no label
3no label
61
Kiwi austrilian me origjine greke๐Ÿ˜‰
1NOT
2no label
3no label
62
๐Ÿ˜‚ ka tru tjetri
1NOT
2no label
3no label
63
Quhet Kajote. Bรซjรซ sallatรซ me vaj e uthull se shkon mirรซ me kte frut. ๐Ÿ˜‚
1NOT
2no label
3no label
64
Hahet un e kam henger ne turqi
1NOT
2no label
3no label
65
Jan dardha po nuk ja depilu se asht ftoht๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚
1NOT
2no label
3no label
66
Kjo quhet Patate Amerikane, edhe vetem mund te zihet, nuk behet e skuqur
1NOT
2no label
3no label
67
@ini_hysa1 oo gjigand ๐Ÿ˜‚๐Ÿ‡ฆ๐Ÿ‡ฑ
1NOT
2no label
3no label
68
Patate e embel
1NOT
2no label
3no label
69
dardh adoleshent ka ngritur floket me xhel
1NOT
2no label
3no label
70
Kjo quhet patate deti.Qerohet e gjithe lekura e jashtme megjithe gjembat dhe skuqet njesoj si patatja e zakonshme,ne shije vjen pak me e embel se patatja normale
1NOT
2no label
3no label
71
Fik po nuk o fik ๐Ÿ˜‚๐Ÿ˜‚
1NOT
2no label
3no label
72
Koqe pylli
0OFF
1UNT
3no label
73
Edhte patate
1NOT
2no label
3no label
74
Kungulli hirushes๐Ÿ˜‚๐Ÿ˜‚
1NOT
2no label
3no label
75
Kungull .
1NOT
2no label
3no label
76
Kungull o kungull
0OFF
0TIN
0IND
77
Behet sallat behet byrek me qumesht
1NOT
2no label
3no label
78
Ftoj ๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚
1NOT
2no label
3no label
79
๐Ÿ˜๐Ÿ˜๐Ÿ˜๐Ÿ˜๐Ÿ‘
1NOT
2no label
3no label
80
Kungull greke behet e skuqur ne feta me pak hudhra dhe kose ose i mbushur me mish te grire e karota e djathe te grire kackavall eshte shume i mire
1NOT
2no label
3no label
81
Hyn te lloj i kungullit esht shum i shijshem ne gatim dhe ka shum vlera ushqimore
1NOT
2no label
3no label
82
Kungull eshte
1NOT
2no label
3no label
83
Patate indjane
1NOT
2no label
3no label
84
Kungull kam un ne shpi te till
1NOT
2no label
3no label
85
Patate franceze
1NOT
2no label
3no label
86
Jan te ngrenshem madje me 400 lek kilja
1NOT
2no label
3no label
87
Kungull me gjemba
1NOT
2no label
3no label
88
Patate deti
1NOT
2no label
3no label
89
Kungull i eger
1NOT
2no label
3no label
90
Dardhe e sterilizuar
1NOT
2no label
3no label
91
Shkule dhe digje se a kungull serb
0OFF
0TIN
1GRP
92
Kajote quhet italisht๐Ÿ”ฅ
1NOT
2no label
3no label
93
Dardh me gjemba ๐Ÿ‘Œ๐Ÿป
1NOT
2no label
3no label
94
Patate e eger
1NOT
2no label
3no label
95
Kungull i eger.Sa shume jane shtuar ๐Ÿ˜๐Ÿ˜๐Ÿ˜qe kur drejtimin e mori Lali fiku
1NOT
2no label
3no label
96
Kur i ben te skuqur
1NOT
2no label
3no label
97
Kungull jan dhe jan shum te mir
1NOT
2no label
3no label
98
Kungull o kunguj
0OFF
0TIN
1GRP
99
tope dashi
0OFF
1UNT
3no label
YAML Metadata Error: "licenses" is deprecated. Use "license" instead.
YAML Metadata Error: "languages" is deprecated. Use "language" instead.
YAML Metadata Warning: The task_categories "text_classification" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other
YAML Metadata Warning: The task_ids "text-classification-other-hate-speech-detection" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering

Dataset Card for "shaj"

Dataset Summary

This is an abusive/offensive language detection dataset for Albanian. The data is formatted following the OffensEval convention, with three tasks:

  • Subtask A: Offensive (OFF) or not (NOT)
  • Subtask B: Untargeted (UNT) or targeted insult (TIN)
  • Subtask C: Type of target: individual (IND), group (GRP), or other (OTH)

Notes on the above:

  • The subtask A field should always be filled.
  • The subtask B field should only be filled if there's "offensive" (OFF) in A.
  • The subtask C field should only be filled if there's "targeted" (TIN) in B.

The dataset name is a backronym, also standing for "Spoken Hate in the Albanian Jargon"

See the paper https://arxiv.org/abs/2107.13592 for full details.

Supported Tasks and Leaderboards

Languages

Albanian (bcp47:sq-AL)

Dataset Structure

Data Instances

shaj

  • Size of downloaded dataset files: 769.21 KiB
  • Size of the generated dataset: 1.06 MiB
  • Total amount of disk used: 1.85 MiB

An example of 'train' looks as follows.

{
  'id': '0', 
  'text': 'PLACEHOLDER TEXT', 
  'subtask_a': 1, 
  'subtask_b': 0, 
  'subtask_c': 0
}

Data Fields

  • id: a string feature.
  • text: a string.
  • subtask_a: whether or not the instance is offensive; 0: OFF, 1: NOT
  • subtask_b: whether an offensive instance is a targeted insult; 0: TIN, 1: UNT, 2: not applicable
  • subtask_c: what a targeted insult is aimed at; 0: IND, 1: GRP, 2: OTH, 3: not applicable

Data Splits

name train
shaj 11874 sentences

Dataset Creation

Curation Rationale

Collecting data for enabling offensive speech detection in Albanian

Source Data

Initial Data Collection and Normalization

The text is scraped from comments on popular Albanian YouTube and Instagram accounts. An extended discussion is given in the paper in section 3.2.

Who are the source language producers?

People who comment on a selection of high-activity Albanian instagram and youtube profiles.

Annotations

Annotation process

The annotation scheme was taken from OffensEval 2019 and applied by two native speaker authors of the paper as well as their friends and family.

Who are the annotators?

Albanian native speakers, male and female, aged 20-60.

Personal and Sensitive Information

The data was public at the time of collection. No PII removal has been performed.

Considerations for Using the Data

Social Impact of Dataset

The data definitely contains abusive language.

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

The dataset is curated by the paper's authors.

Licensing Information

The authors distribute this data under Creative Commons attribution license, CC-BY 4.0.

Citation Information

@article{nurce2021detecting,
  title={Detecting Abusive Albanian},
  author={Nurce, Erida and Keci, Jorgel and Derczynski, Leon},
  journal={arXiv preprint arXiv:2107.13592},
  year={2021}
}

Contributions

Author-added dataset @leondz

Downloads last month
2