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58.2
68a90f5f5e16fea2928080ea
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"ความหมายของครอบครัว[กะ]<ก็> สำหรับข้(...TRUNCATED)
"ความหมายของครอบครัวก็ สำหรับข้อยก(...TRUNCATED)
"ความหมายของครอบครัวกะ สำหรับข้อยก(...TRUNCATED)
opentyphoon;is;x_061;gen;0049.wav
เมืองขอนแก่น
ขอนแก่น
24.0
x
gen0049
"เจ้าคึดว่าความหมายของ \"ครอบครัว\" สำ(...TRUNCATED)
12.885
68ad8fc8f5641bfddccdea4c
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"มีนะครับผมว่าอิสระทางการเงินลงทุน(...TRUNCATED)
"มีนะครับผมว่าอิสระทางการเงินลงทุน(...TRUNCATED)
"มีนะครับผมว่าอิสระทางการเงินลงทุน(...TRUNCATED)
opentyphoon;is;m_117;fin;0464.wav
เพ็ญ
อุดรธานี
21.0
m
fin0464
"เจ้าคึดว่าการลงทุนเฮ็ดให้คนเฮามีอ(...TRUNCATED)
9.045
68ad8fcdf5641bfddccdeaca
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"ควรอย่างยิ่ง เพื่อที่บริการสิได้ม(...TRUNCATED)
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"ควรอย่างยิ่ง เพื่อที่บริการสิได้ม(...TRUNCATED)
opentyphoon;is;f_094;fin;0229.wav
พิบูลมังสาหาร
อุบลราชธานี
22.0
f
fin0229
"เจ้าคึดว่าธนาคารควรมีการฝึกอบรมพน(...TRUNCATED)
9.387
68ad8fd6f5641bfddccdebb1
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"งานบุญกฐิน[กะ]<ก็>เป็นงานที่ [เฮา]<เรา>(...TRUNCATED)
"งานบุญกฐินก็เป็นงานที่ ก็นี่สิบำร(...TRUNCATED)
"งานบุญกฐินกะเป็นงานที่ กะนี่สิบำร(...TRUNCATED)
opentyphoon;is;f_101;gen;0258.wav
เมืองชัยภูมิ
ชัยภูมิ
20.0
f
gen0258
งานบุญกฐินคืองานอิหยัง?
9.045
68ad8fd9f5641bfddccdebf3
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"แบบประโยชน์หลายเลยคือ[เฮา]<เรา>สิรู(...TRUNCATED)
"แบบประโยชน์หลายเลยคือเราสิรู้การเ(...TRUNCATED)
"แบบประโยชน์หลายเลยคือเฮาสิรู้การเ(...TRUNCATED)
opentyphoon;is;f_105;fin;0062.wav
หนองเรือ
ขอนแก่น
22.0
f
fin0062
"เจ้าคึดว่าการที่ได้เรียนรู้เรื่อง(...TRUNCATED)
15.872
68ad8fdaf5641bfddccdec0b
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"[กะ]<ก็>เป็นคนมีระเบียบ คิดหยังก่อนส(...TRUNCATED)
"ก็เป็นคนมีระเบียบ คิดหยังก่อนสิก็(...TRUNCATED)
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opentyphoon;is;m_118;fin;0587.wav
วารินชำราบ
อุบลราชธานี
41.0
m
fin0587
"สมมุติว่าเจ้าบ่ได้วางแผนการเงินใน(...TRUNCATED)
12.971
68ad8fe5f5641bfddccded0f
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"แน่นอนว่าหั้น[เฮา]<เรา>มีเงินเนี่ย [เ(...TRUNCATED)
"แน่นอนว่าหั้นเรามีเงินเนี่ย เรามี(...TRUNCATED)
"แน่นอนว่าหั้นเฮามีเงินเนี่ย เฮามี(...TRUNCATED)
opentyphoon;is;f_091;fin;0582.wav
เมืองขอนแก่น
ขอนแก่น
30.0
f
fin0582
"เจ้าคึดว่าเงินเฮ็ดให้คนเฮามีอิสระ(...TRUNCATED)
18.261
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"ลงทุนอิหยังผ่านมือถือก็ได้บ่ปลอดภ(...TRUNCATED)
"ลงทุนอิหยังผ่านมือถือกะได้บ่ปลอดภ(...TRUNCATED)
opentyphoon;is;m_115;fin;0442.wav
โพธิ์ชัย
ร้อยเอ็ด
38.0
m
fin0442
"เจ้าคึดว่าการลงทุนอิหยังกะได้ผ่าน(...TRUNCATED)
19.371
68ad8feff5641bfddccdee04
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"ผมมักก้อง ห้วยไร่ เพราะเสียงเพราะค(...TRUNCATED)
"ผมมักก้อง ห้วยไร่ เพราะเสียงเพราะค(...TRUNCATED)
"ผมมักก้อง ห้วยไร่ เพราะเสียงเพราะค(...TRUNCATED)
opentyphoon;is;x_128;gen;0062.wav
เมืองขอนแก่น
ขอนแก่น
23.0
x
gen0062
"เจ้ามักฟังเพลงของศิลปินผู้ใด๋หลาย(...TRUNCATED)
7.083
68ad8ff1f5641bfddccdee41
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"มัน[กะ]<ก็>มีผล หั้นศูนย์เปอร์เซ็นต์[(...TRUNCATED)
"มันก็มีผล หั้นศูนย์เปอร์เซ็นต์ก็ก(...TRUNCATED)
"มันกะมีผล หั้นศูนย์เปอร์เซ็นต์กะก(...TRUNCATED)
opentyphoon;is;f_106;fin;0679.wav
ธวัชบุรี
ร้อยเอ็ด
24.0
f
fin0679
"เจ้าว่าดอกเบี้ยมีผลต่อการผ่อนจ่าย(...TRUNCATED)
5.888
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Dataset Card for Thai Dialect Isan Speech Corpus

Dataset Description

This dataset contains audio recordings of Isan (Northeastern Thai) speech, paired with rich transcriptions and demographic metadata. It is designed to support Automatic Speech Recognition (ASR), dialect study, and text normalization tasks for the Isan language.

The dataset features spontaneous responses to specific questions, covering two domains (General and Finance), recorded by speakers from different provinces in Northeastern Thailand.

  • Language: Isan (Northeastern Thai)
  • Total Examples: 10,487
  • Input: Audio (WAV)
  • Output: Transcriptions (Isan spelling, Thai spelling, and Raw annotated format)
  • License: CC-BY-4.0

Dataset Structure

Data Splits

Split Examples
Train 9,987
Test 500

Data Fields

Each data point contains the following fields:

  • id (string): A unique identifier for the dataset entry.
  • audio (audio): A dictionary containing the path to the audio file, the decoded audio array, and the sampling rate.
  • raw (string): The raw transcription containing dialect-to-standard annotation tokens.
    • Format: [Isan Word]<Standard Thai Word>
    • Example: "ข้อย[กะ]<ก็>บ่ค่อยมี[แฮง]<แรง>"
  • thai_spelling (string): The transcription normalized to Standard Thai spelling.
    • Example: "ข้อยก็บ่ค่อยมีแรง"
  • isan_spelling (string): The transcription written in Isan spelling (phonetic to the dialect).
    • Example: "ข้อยกะบ่ค่อยมีแฮง"
  • name (string): The original filename, often containing metadata codes (e.g., opentyphoon;is;x_061;gen;0049.wav).
  • district (string): The district (Amphoe) where the speaker resides.
  • province (string): The province (Changwat) where the speaker resides.
  • age (int): The age of the speaker.
  • gender (string): The gender of the speaker. Values include "m" (male), "f" (female), and "x" (not specified).
  • question_id (string): The ID of the prompt question asked to the speaker.
  • question (string): The text of the question asked to the speaker.
  • duration (float): The duration of the audio clip in seconds.

Key Features

1. Rich Annotation Format

The raw field provides a unique mapping between Isan dialect and Standard Thai. This is valuable for dialect normalization and translation tasks.

  • Format: [dialect spelling]<standard Thai spelling>
  • Example: [เฮา]<เรา> indicates the speaker said "hao" (Isan) which corresponds to "rao" (Thai for "We/Us").

2. Demographic Diversity

The dataset includes speakers from multiple key provinces in the Isan region, allowing for analysis of regional accent variations. Provinces include:

  • Khon Kaen
  • Udon Thani
  • Ubon Ratchathani
  • Chaiyaphum
  • Roi Et
  • Maha Sarakham
  • Kalasin
  • Nong Bua Lam Phu
  • Beung Kan

3. Prompted Speech

Recordings are responses to specific questions (found in the question field), providing context for the speech. This helps in analyzing semantic understanding and sentiment in the local dialect.

Usage

Loading the Dataset

from datasets import load_dataset
import IPython.display as ipd

# Load the dataset
dataset = load_dataset("scb10x/thai-dialect-isan-dataset")

# Select a sample
example = dataset['train'][0]

# Print transcriptions
print(f"Transcript (Isan): {example['isan_spelling']}")
print(f"Transcript (Thai): {example['thai_spelling']}")

# Listen to audio
ipd.Audio(example['audio']['array'], rate=example['audio']['sampling_rate'])
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