Africa Emotion Datasets
Collection
The collection contains emotion-labeled text data for 42 African languages
•
44 items
•
Updated
Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Nuer
Size:
10K - 100K
License:
Dataset Viewer
Nuer
stringlengths 10
286
| emotion
stringclasses 7
values |
|---|---|
tfraiau tfiraua tfiraau tfiruaa tfiruaa tfiraua tfiraau tfiarua tfiarau tfiaura tfiauar
|
sadness
|
Bëë nhial kiɛ bëë kä naath?"
|
neutral
|
Cu kun gat gam kɛ tetkɛ.
|
surprise
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Kɛ kwic dwelli. tee kɛɛ wutni ti görkɛ lat dweel.
|
joy
|
Dualɛ kɛ Kuoth.
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fear
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?Zezi waan ɔ fin nin? ?Yɛ i sɔ'n kle kɛ ɔ ti wan wa?
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neutral
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Luɔnyɛ jɛ kä nööŋɛ jɛ wanɛ mɛ.
|
neutral
|
a mì si Yɛnŋɛlɛ sɛnrɛ ti yo wa Damasi ca gbɛn,
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neutral
|
Tag: thue tham tugia thue tham tuchi phi thu tham tudich vu tham tutham tu uy tin chuyen nghiep
|
neutral
|
Kä cukɛ jɛ tok kɛ mi görkɛ jɛ rɛy watnikiɛn kɛnɛ mäthnikiɛn.
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neutral
|
Jaopa jɛ cɔl nhial, cuɛ wee, "Abɛraam!
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neutral
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jɛ jiök, "Gaat muɔɔr cikɛ jiɛɛn wanɛmɛ kɛ
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neutral
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Shi wɔbiɔ saji yɛ shihilɛ kɛ bɔ ni nibii baaji wɔsɛɛ lɛ hu ahe.
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neutral
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Muaj ntau tej yaam num hu rau qhov chaw tej yam khoom;
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disgust
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cak ni kɛ jɛ.
|
neutral
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wee, "Mi wä yɛn wä röm kɛ dämaar ni Ithɔɔ,
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anger
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Kä niɛ guäth in ca ruac liŋ, cu Cɛy-tan ben, cuɛ ruac in ca piɛth rɛydiɛn ben woc.
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disgust
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Kä cuɛ Muthɛ lath kɛ dual kɛ guecdɛ.
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fear
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Yɛn diaal, nyuɔɔrɛ!
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neutral
|
iij mqeiij mqaiij mqiiij mqoiij mqdiij mqhiij mqniij mqriij mqsiij mqtiij mquiij mqyiij mqciij mqfiij mqgiij mqliij mqjiij mqmiij mqwiij mqbiij mqviij mqkiij mqxiij mqpiij mqqiij mqz
|
anger
|
Acaan ɛkɛ 'ya muona bora noŋ kanŋa ɛkɛ neeni, ɔci 'ya 'wonna ɛkɛ war tɛɛn ɛkɛ noŋa kanŋa ɛkɛ neeni.
|
joy
|
Vɛɛ Chiisu ndoo che yɛ masale chieeŋndeŋ?
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neutral
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Pe pe yɛɛ yigi kɛɛnrɛ limɛ pi ni."
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neutral
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Cuaa Jɛykɔp jiök, i "Ci gatdu ni JOthɛp ben
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neutral
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Cïn muöl cäth, tuk wälä diër rin yïn rot läc;
|
neutral
|
Barɛ ro päämni mäni mi yiek yɛ
|
fear
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kuɛn piny nhiam nɛɛni diaal tëë cuŋ kɛ jɛ
|
neutral
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"Ki naŋa ŋa wì pye mɛlɛ mɛɛ Yɛnŋɛlɛ sɛnrɛ ti jɛn yɛɛn,
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neutral
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Täämɛ cuɛ Jɛykɔp lɔcdɛ coo waŋ kɛ Lɛybɛn,
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neutral
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Kä cuɛ jɛ jiök, "E jɛn mäni
|
surprise
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Kä bia dɛy kuir rɛy lätni diaal ti gɔw, kä bia piith rɛy ŋäcä Kuɔth.
|
neutral
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Ram mi lät mi gɔaa ɛ raan Kuɔth.
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neutral
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naa tire nuwɔ taan cɛnlɛ pyew ti ni,
|
sadness
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?Kɛ Mari seli Zozɛfu kɛ w'a wunnzɛ'n, akunndan benin yɛ Zozɛfu buli-ɔ? ?Yɛ ngue ti-ɔ?
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neutral
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Nyɔŋmɔ miisumɔ ni wɔhi shi yɛ toiŋjɔlɛ kɛ miishɛɛ mli yɛ paradeiso mli yɛ shikpɔŋ lɛ nɔ kɛya naanɔ!
|
joy
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Noa nabi, kɛ Ham binuu ni ji ejwɛ nɔ.
|
neutral
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Kä a liak tekɛ jɛ a thil pek.
|
joy
|
Ka mɛni pɛlɛ-pɛlɛ ŋa kɛ kákîe-ni mì nyii a kátûalaai su kpanáŋ
|
neutral
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Lere ŋa fuun kɔɔn kɛɛ yaraga shɔ,
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neutral
|
iij nieiij niaiij niiiij nioiij nidiij nihiij niniij niriij nisiij nitiij niuiij niyiij niciij nifiij nigiij niliij nijiij nimiij niwiij nibiij niviij nikiij nixiij nipiij niqiij niz
|
anger
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tu thu allaiKiaal uf thu calalu.
|
neutral
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Kä ram mi jiäk bä lät ti jiäk raar rɛy lɔaacdɛ mi jiääk.
|
disgust
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Na dat na mi nem; ɛn a nɔ de gi mi glori to ɛnibɔdi ɛn mi prez to ɛni aydɔl."
|
anger
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Kä ram mi näk raan kɛ thɛp, ba jɛ dhil näk kɛ thɛp."
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anger
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tɔ lam ji tɔ, kä poth a kɛ nɛy tɔ puɔth
|
sadness
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"La nɛy nyin tɛthkä lɔaac a lät kɛɛl."
|
joy
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Mɛni abaasusu he yɛ yitso ni nyiɛ sɛɛ lɛ mli?
|
disgust
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Mi lätdi mi jiääk, lätdi jɛ kä rɔɔdu,
|
anger
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cian awk jie!
|
anger
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ɛniɛ safety first
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fear
|
Eyɛ mli akɛ Nyɔŋmɔ hala hii ni yeee emuu akɛ enajiaŋdamɔlɔi moŋ, shi mɛni ekpa gbɛ akɛ Israelbii lɛ baafee?
|
surprise
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katugu mi yɛn na jɛngɛ lɛgɛrɛ jɛɛn,
|
neutral
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jɛ, "Yɛn wuɔcɛ kuth kɔkiɛn tɔ tee kɛ yɛ tɔ,
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neutral
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ua qasurat bî a"mâlî, ua qa"adat bî aglâlî,
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neutral
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mɛnni kɛ kelen fɛ.
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neutral
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cätdan, banɛ jɛ cal kɛ cätdan, kä jɛn bɛ
|
neutral
|
gääm ɛ jiök, "'Cu dual.
|
fear
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Ni kɛ ebalɛ akɛ amɛyaje haomɔ ko mli lɛ, wɔbaaye wɔbua amɛ ejaakɛ wɔji weku agbo diɛŋtsɛ.
|
joy
|
Cuɛ wee, "Nɛn ɛ, mac kɛnɛ
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anger
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Vɛɛ naŋ tuu yɛ chieeŋ naŋ cho hoo niŋndo a chieeŋndo o teleŋ masindɔɔ niŋ, nduyɛ nyuna yɛɛ fula yɛ a hei okɔɔ?
|
anger
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Ani nɛkɛ ji bɔ ni Nyɔŋmɔ to eyiŋ kɛha mi kɛ adesa weku muu lɛ fɛɛ?
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neutral
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lɔcdɛ thɛm, cuɛ jɛ jiök, "Abɛraam."
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anger
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Mɛɛ gbɛ nɔ wiemɔ ni ji 'tsi ohe kɛje nii ni ejaaa he' lɛ kɔɔ nibii komɛi ni tee nɔ yɛ Mose beaŋ lɛ he?
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disgust
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Sane ni wɔshiɛɔ kɛ hiɛdɔɔ,
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neutral
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hnayuua hnauyau hnauyua hnauayu hnauauy hnauuay hnauuya hnaauyu hnaauuy hnaayuu hnaayuu
|
anger
|
kä kɔn mi dee niɛɛn kɛ kɔn.
|
neutral
|
huhu, tu ayt al-quran yg bwk mkne cam nie,
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neutral
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Bikɛ kuth ti jiäk woc kɛ ciötdä, kä bikɛ ruac kɛ thuk ti gööl.
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neutral
|
Yoj wuquʼ wä qachʼalal qiʼ, chqä taq kʼa yin koʼöl na kʼïy xintamaj chrij ri samaj pa tikoʼn.
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neutral
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ŋic thöpä läri ɛ tämɛ kɛ ŋieckɛ nath kɛ kä UK kɛ liw.
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neutral
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Mɛni aboloo kɛ wein ni akɛtsuɔ nii yɛ Nuŋtsɔ lɛ Gbɛkɛ Niyenii lɛ shishi lɛ damɔ shi kɛha?
|
fear
|
ʼat ni tzij pawi, ca ʼiltaj ʼuri we ʼo i a mac,
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fear
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Ci kɛ de ben kɛ cäŋ kuoth kiɛ cäŋ lɔŋ kä wec kɛ liw.
|
neutral
|
ji poth, bä ram ɔ lam ji mɔ lam, kä thär
|
joy
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kalo meiyra cuyaa ?
|
neutral
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I wanaaa win this!:D
|
joy
|
Nga sanni kɛnin kɔ,
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neutral
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gaatkɛ Cɛm, Hɛm kɛ Jɛpɛth, kɛ ciek Nowa, kɛ
|
neutral
|
su ui iv aytujej nuiiiuiJiicj uia- -
|
joy
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Kɛ kɛn bɛl.
|
neutral
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Cu Kuoth ɛ nɛn, cɛ gɔaa.
|
joy
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täämɛ yɛn 'cuayɛ mɛ jiääk ɛmɛ lät.
|
neutral
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?Amun kunndɛ kɛ amún sí ndɛ ng'ɔ ti nanwlɛ'n?
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neutral
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a wì suu yɛɛra yaripɔrɔ ti lɛ mari le,
|
neutral
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Kä baa jɛn raam min baa
|
neutral
|
same askɛ diɛwɛadj
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neutral
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Fɔli, mɛni he hia nyɛ bimɛ ɔmɛ nɛ ma ha nɛ a ná bua jɔmi ngɛ a si himi mi?
|
disgust
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Eric, ɛkulo kɛ ɛkenga ɔ?
|
neutral
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Cu dämani coo ruac kɛ jɛ kɛ kɔrɛ.
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neutral
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Re tjonïk reʼ xtqrtoʼ rchë ma xtqaqʼäj ta rutzij Jehová taq xtkitäj kiqʼij chqij rchë yeqaʼän costumbres chrij ri kamïk.
|
neutral
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thil riɛk kɛ ti diaal tëë te tetkä Jothɛp
|
neutral
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nmtcauu nmtcauu nmtucua nmtucau nmtuuca nmtuuac nmtuauc nmtuacu nmtuuca nmtuuac nmtucua
|
neutral
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Afee ŋwɛi ehee, Satan bɛ jɛi dɔŋŋ;
|
disgust
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Sokere: To eŋɛ la wani baŋɛ ti Naayinɛ keleseri to?
|
neutral
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Mi lätdi duɔɔr mi gɔaa, lätdi jɛ kä rɔɔdu,
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neutral
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tu waqt tha.
|
neutral
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Cu wut ɛmɔ cuaa riäŋ riäŋ.
|
disgust
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rɔ yuɔr piny nhiamdɛ, cukɛ wee, "Nɛn ɛ, kɔn
|
anger
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Kä cukɛ Kuoth I-thɛ-rɛl liak.
|
disgust
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He ni wɔshɛ yɛ Satan je lɛ mli, wɔkɛ naagbai baakpe.
|
disgust
|
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Nuer Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Nuer for emotion classification (joy, sadness, anger, fear, surprise, disgust, neutral). Emotions were extracted and processed from the English meanings of the sentences using the model j-hartmann/emotion-english-distilroberta-base. The dataset is part of a larger collection of African language emotion analysis resources.
Dataset Statistics
- Total samples: 12,525
- Joy: 677 (5.4%)
- Sadness: 345 (2.8%)
- Anger: 508 (4.1%)
- Fear: 481 (3.8%)
- Surprise: 587 (4.7%)
- Disgust: 866 (6.9%)
- Neutral: 9061 (72.3%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Nuer
- emotion: Emotion label (joy, sadness, anger, fear, surprise, disgust, neutral)
Data Splits
This dataset contains a single split with all the processed data.
Data Processing
The emotion labels were generated using:
- Model:
j-hartmann/emotion-english-distilroberta-base - Processing: Batch processing with optimization for efficiency
- Deduplication: Duplicate entries were removed based on text content
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("michsethowusu/nuer-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{nuer_emotions_corpus,
title={Nuer Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/nuer-emotions-corpus}
}
License
This dataset is released under the MIT License.
Contact
For questions or issues regarding this dataset, please open an issue on the dataset repository.
Dataset Creation
Date: 2025-07-04 Processing Pipeline: Automated emotion analysis using HuggingFace Transformers Quality Control: Deduplication and batch processing optimizations applied
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Size of downloaded dataset files:
501 kB
Size of the auto-converted Parquet files:
501 kB
Number of rows:
12,525