Africa Sentiment Datasets
Collection
The collection contains sentiment-labeled text data for 42 African languages
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43 items
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Updated
Dataset Viewer
Lushai
stringlengths 9
489
| sentiment
stringclasses 2
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457k
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|---|---|---|
A mite chuan a pute meipui an chhehsak ang khân an chhehsak ve lo.
|
Negative
| 0
|
Nannih cu hi leilung ihsin nan si, kei cu hi leilung ihsin ka si lo.
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Negative
| 1
|
Amaherawhchu, Kristian a nih avangin tuar se la zak suh se.
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Positive
| 2
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Setana ngei pawhin chu chu a hre reng a ni.
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Negative
| 3
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Cule hih thil pahnih hi kalh aw in a hmu lo," a ti.
|
Negative
| 4
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In zingah tu nge finga thu hre thei awm?
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Positive
| 5
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He lehkhabu hian mihring tâna Pathian ruahmanna hre tûrin a pui dâwn che a.
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Positive
| 6
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Ka Lalpa chu a mawi ber e.
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Positive
| 7
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Unaute u, ka awm dan zirtute lo ni hlawm rawh u, tin, entawn tur keini min nei a, chu mi ang zela awmte chu en tha rawh u.
|
Positive
| 8
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Hmêlmawi i ni, in duh suh,
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Positive
| 9
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Quran hi Koran, coran ti a ziak ka hmu fo mai.
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Negative
| 10
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Mi sual tan pawh ri mawi a ni,
|
Negative
| 11
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Arsi pakhat an hmuh zui ringawt kha chu atthlak tak tur chu a ni.
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Negative
| 12
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Tichuan, mipuite chu sînghnih leh sânghnih an kîr leh a; tin, sîngkhat an la awm a.
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Positive
| 13
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Lei chungah hian amah ang reng an awm lo e, Hlauh nei hauh loa siam chu.
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Positive
| 14
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heuh heuh pah chuan, "Ka bawih, aw, nangnèna
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Negative
| 15
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Misual ho leh mifelte kan inthlauhna a va tlem tak ve.
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Positive
| 16
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Chuvângin, Isua chuan mihring pa a nei ve lo.
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Negative
| 17
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An lâwm ni tin a zuol pei;
|
Positive
| 18
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Chu chun a mang kha iem a chang hrim ti hre el ei tih" an ta.
|
Negative
| 19
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chauh, He Pathian lehkha thu hi vawiinah hian in hriatah a lo thleng
|
Positive
| 20
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ka kutin anmahni chu ka tiboral ang,' a ti a.
|
Negative
| 21
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Ama zaran Thlarau hmunkhata Pa hnena luh theihna kan nei ve ve a ni.
|
Positive
| 22
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Tlan rawh min titu kiangah chuan,
|
Positive
| 23
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Mihring thiltihte hi chhinchhiah la,
|
Positive
| 24
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Nunna lehkhabuah chuan,
|
Positive
| 25
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An zingah khan aw tha deuh deuh an awm," tiin a sawi.
|
Negative
| 26
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Na hnenah thutiam tuahsuak a si ding.
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Positive
| 27
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Bawipa na Pathian ih thupekmi na thlun lo a si" a ti.
|
Positive
| 28
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Tuifinriata sangha zawng zawng pawh mansak vek i la, an khawpkham dawn em ni?
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Negative
| 29
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Chhandamna zawngtute tan;
|
Positive
| 30
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Vântirhkohte zînga pakhat chu Pathian lakah a hel a.
|
Negative
| 31
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I hnamk tikah zeiruang kan mit kan chimh?
|
Positive
| 32
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Mi zawng zawng ro relsak turin a lo kal leh dawn.
|
Positive
| 33
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Pathian ni ropui lo thlen hun tûr chu kan hnaih chho zêl a.
|
Positive
| 34
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Vntirhkohte chu mihring aiin an chak zwk:
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Positive
| 35
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Zawhte chu thi min han awrhtir chiah ula, ka thlen chin chu in hre thei viau ang.
|
Positive
| 36
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A aia lehkhathiam zawk an tir leh ta a.
|
Negative
| 37
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Hêng mi zawng zawngte hi in tiboral mai ang asin," a ti a.
|
Negative
| 38
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Entîr nân, kut tih thu mal hi a za têla târ lan a ni a.
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Positive
| 39
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Nimahsela, chumi ni chuan a chhâng lo va.
|
Negative
| 40
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ngei lo mi an si an i thei ko nain an thih tiang in
|
Negative
| 41
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Pathian hnenah a duhthu thlen thin mahse, a duh anga chhanna erawh a la hmu lo.
|
Negative
| 42
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A sîr tawna rawn lùt vete chu a vêngtute an ni.
|
Positive
| 43
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Chhûmte pawh a chunga ruah rêng rêng sûrtîr lo tûrin thu ka pe bawk ang.
|
Positive
| 44
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Tuifinriat chuan chu chu a hmu a, a tlan bo a; Jordan lui chu tihkirin a awm ta a.
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Negative
| 45
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Kan mal lo ve; angel-te'n min hruai,
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Positive
| 46
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Tin, Nova chu a uain rui chu a lo harh a, a fapa naupang berin a chunga a tihzia chu a lo hre ta a.
|
Positive
| 47
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Mitrha chauh kalna hmun tur ani lova, misual te'n welcome an hlawhna hmun a ni ber zawk lo maw:?:
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Negative
| 48
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An thiltih suaksual avângte chuan ka in ata ka hnawt chhuak ang; Anniho hi ka hmangaih tawh lo vang.
|
Positive
| 49
|
Ringlo mite hlauin an khur tawh ang a.
|
Negative
| 50
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Nova vaukhânna thuchah chu mite chuan an nuih zat a.
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Positive
| 51
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Chuvângin, Mosia chu an chungah a thinrim ta hle a.
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Negative
| 52
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Pathian in ei tur min pe.
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Positive
| 53
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Van lam aw ngaithlatu chuan,
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Positive
| 54
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Thei e, chungte chuan an theihnghilh a ni thei e, nimahsela kei chuan ka theihnghilh lo ang che.
|
Positive
| 55
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Bawipa dawtnak kha ruat cio tuah u;
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Negative
| 56
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Tin, Pharisaite chuan an hnenah," Nangni pawh bumin in awm ve ta elo?
|
Negative
| 57
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Ka lalpa mit mi thluntir mai rawh," a ti a.
|
Positive
| 58
|
Hnehin thlan atangin a tho;
|
Positive
| 59
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Tin, Mosia'n a hnenah," Keimah avanga ngaimawh em i nih?
|
Negative
| 60
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Mi in ma thu hei hi a bei sap chun, ma lekhabu a hri ti om inziak hei hi Pathianin a chung a bei sa ve a ti.
|
Positive
| 61
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Mihring erawh an sual;
|
Negative
| 62
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Vantirhkohte min veng turin an hnai thin,
|
Positive
| 63
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Mipi lam pan in piakkhiatna te tawh ma pang mahmah kasa hi.
|
Positive
| 64
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Arsi tam chin a chhiar a; An hming a vuah theuh hlawm thin a.
|
Positive
| 65
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An inneih tukah a pa hnenah, "Ka pa, a awmna a lo thlang em alawm.
|
Positive
| 66
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Hâlral thil hlante, bâwngno kumkhat mite nên a hmâah chuan ka lo kal dâwn em ni?
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Negative
| 67
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Pathienin ei tawngtainahai a ngaithlak ta naw amani ti dingin a um rum rum chang khawm a tam.
|
Positive
| 68
|
Po ti me thua;
|
Positive
| 69
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Hun a lo kal zel ang a, i hre mai ang,' a ti ngut mai a.
|
Positive
| 70
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Tin, Isaaka chuan a pa Abrahama chu a bia a," Ka pa," a ti a: tin, ani chuan," Ka fapa, heta hi ka awm," a ti a.
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Positive
| 71
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Ngai teh, keimah chauhva hnutchhiahin ka awm si a; hêngho hi khawiah nge an lo awm ni le?' i ti ang," tiin.
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Negative
| 72
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Vanramah mifel kan hmu dawn lo!
|
Negative
| 73
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Nu leh pa, unaute an hlutzia min hriatchhuah nawn tir thar leh awn awn mai, ka tan i thuziah hi malsawmna ani takzet e.
|
Positive
| 74
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He thlemna hi a kotu che u hnen ata a ni lo e.
|
Negative
| 75
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Nuna bua ziak anga ka hming an lam hun chuan;
|
Positive
| 76
|
A ni, kum sang let hnih pawh dam se la, thil tha a hmuh si loh chuan thuhmun an ni mai lo'm ni?
|
Negative
| 77
|
A ngilneihna chu kumkhuain a awm ang tih, Israel-hote chuan sawi rawh se.
|
Positive
| 78
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In thlahtuten zawlneite zingah tu nge an tihduhdah loh ni?
|
Positive
| 79
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Mi khawngaihthlâk ber a ni.
|
Positive
| 80
|
Pathian Thu hian thiltihtheihna a nei tih engin nge rintîr che?
|
Positive
| 81
|
Isua miten an hmu dawn a ni;
|
Negative
| 82
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Midian-hote chu anmahni leh anmahni an inbei chiam a.
|
Negative
| 83
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an hre tawh lo a ni ang.
|
Positive
| 84
|
Tin, ani chuan," Kal leh rawh, vawi sarihin," a ti a.
|
Positive
| 85
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Chuvângin, vântirhkohte chuan a mi mal takin an ngaihven che tih i ring thei a.
|
Positive
| 86
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Min tihchhiat tumtute tan tawngtai thei turin min pui la,
|
Positive
| 87
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Pathianin hun kal tawhah mitthite a kaitho tawh.
|
Positive
| 88
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An duh ang ngeiin an thang ah kan awk bawk.
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Negative
| 89
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Pathianin a fate chunga a tih dan pawh chutiang chu a ni thin.
|
Positive
| 90
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Tin, ani chuan, "Kal leh rawh, vawi sarih," a ti a.
|
Positive
| 91
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Tin, fianriala a awm laiin sawm leh pahnihte leh a thuihruai dangte chuan tehkhin thute chu an zawt fiah a.
|
Positive
| 92
|
Hausa Tawntaw te Inkhualtelemna
|
Positive
| 93
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'Mi pathum phuarin rawhtuina meialh saah kan paih lut a ni lawm ni?' tiin a zawt a.
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Negative
| 94
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Engngahnge an inkhap zawh loh,
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Negative
| 95
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Kan Pathian cu Noah vek ih lungawithu sim ringring mi pawl hnen ah a
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Positive
| 96
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Ringlote an khur ang;
|
Negative
| 97
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hnenah thla ka cam;
|
Positive
| 98
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Chuvângin, sakhaw dik lo nên inhnamhnawih an duh lo a ni.
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Negative
| 99
|
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Lushai Sentiment Corpus
Dataset Description
This dataset contains sentiment-labeled text data in Lushai for binary sentiment classification (Positive/Negative). Sentiments are extracted and processed from the English meanings of the sentences using DistilBERT for sentiment classification. The dataset is part of a larger collection of African language sentiment analysis resources.
Dataset Statistics
- Total samples: 456,848
- Positive sentiment: 244652 (53.6%)
- Negative sentiment: 212196 (46.4%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Lushai
- sentiment: Sentiment label (Positive or Negative only)
Data Splits
This dataset contains a single split with all the processed data.
Data Processing
The sentiment labels were generated using:
- Model:
distilbert-base-uncased-finetuned-sst-2-english - Processing: Batch processing with optimization for efficiency
- Deduplication: Duplicate entries were removed based on text content
- Filtering: Only Positive and Negative sentiments retained for binary classification
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("michsethowusu/lushai-sentiments-corpus")
# Access the data
print(dataset['train'][0])
# Check sentiment distribution
from collections import Counter
sentiments = [item['sentiment'] for item in dataset['train']]
print(Counter(sentiments))
Use Cases
This dataset is ideal for:
- Binary sentiment classification tasks
- Training sentiment analysis models for Lushai
- Cross-lingual sentiment analysis research
- African language NLP model development
Citation
If you use this dataset in your research, please cite:
@dataset{lushai_sentiments_corpus,
title={Lushai Sentiment Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/lushai-sentiments-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: 2025-07-02 Processing Pipeline: Automated sentiment analysis using HuggingFace Transformers Quality Control: Deduplication, batch processing optimizations, and binary sentiment filtering applied
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
456,848