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Cannot get the split names for the config 'default' of the dataset.
Exception: FileNotFoundError
Message: Couldn't find any data file at /src/services/worker/airesearch/thai-ser. Couldn't find 'airesearch/thai-ser' on the Hugging Face Hub either: LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 353, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 278, in get_dataset_config_info
builder = load_dataset_builder(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1781, in load_dataset_builder
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1659, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find any data file at /src/services/worker/airesearch/thai-ser. Couldn't find 'airesearch/thai-ser' on the Hugging Face Hub either: LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
🇹🇭 THAI-SER Dataset 🎭
Published by: AI Research Institute of Thailand (AIResearch)
In collaboration with:
- Vidyasirimedhi Institute of Science and Technology (VISTEC)
- Digital Economy Promotion Agency (depa)
- Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University
- Department of Dramatic Arts, Faculty of Arts, Chulalongkorn University
Sponsored by: Advanced Info Services Public Company Limited (AIS), and Siam Commercial Bank (SCB)
License: Creative Commons BY-SA 4.0
🚀 Dataset Overview
THAI-SER is an open Thai speech emotion recognition dataset containing emotional speech utterances in Thai. This dataset includes recordings of professional actors performing scripted and improvised scenarios.
🌟 Key Highlights
- Total Duration: 41 hours 36 minutes
- Total Utterances: 27,854
- Number of Actors: 200 (112 female, 88 male)
- Recording Environments: Studio (controlled & uncontrolled), Zoom
- Emotions: Neutral, Anger, Happiness, Sadness, Frustration
- Session Types: Script Session, Improvisation Session
🎙️ Recording Environments
The dataset comprises recordings from two main environments:
🎧 Studio Recordings
- Studio A: Noise-controlled, soundproof rooms (
studio001tostudio018) - Studio B: Normal rooms without soundproofing (
studio019tostudio080)
💻 Zoom Recordings
- Online via Zoom and Zencastr (
zoom001tozoom020)
📝 Session Details
📖 Script Session
Actors performed 3 predetermined sentences, each repeated twice per emotion with two emotional intensities (normal and strong), plus a neutral expression.
| Sentence ID | Thai Sentence | English Translation |
|---|---|---|
| 1 | พรุ่งนี้มันวันหยุดราชการนะรู้รึยัง หยุดยาวด้วย | Do you know tomorrow is a public holiday and it's the long one. |
| 2 | อ่านหนังสือพิมพ์วันนี้รึยัง รู้ไหมเรื่องนั้นกลายเป็นข่าวใหญ่ไปแล้ว | Have you read today's newspaper? That story was the topliner. |
| 3 | ก่อนหน้านี้ก็ยังเห็นทำตัวปกติดี ใครจะไปรู้หล่ะ ว่าเค้าคิดแบบนั้น | He/She was acting normal recently; who would have thought they'd think like that? |
🎬 Improvisation Session
Actors improvised conversations according to provided scenarios with specific emotions.
| Scenarios | Actor A | Actor B |
|---|---|---|
| 1 | (Neutral) A hotel receptionist trying to explain and service the customer | (Angry) A angry customer who dissatisfy the hotel services |
| 2 | (Happy) A person excitingly talking with B about his/her marriage plan | (Happy) A person happily talking with A and help him/her plan his ceremony |
| 3 | (Sad) A patient feeling depressed | (Neutral) A doctor attempting to talk with A neutrally |
| 4 | (Angry) A furious boss talking with the employee | (Frustrated) A frustrated person attempting to argue with his/her boss |
| 5 | (Frustrated) A person frustratingly talk about another person's action | (Sad) A person feeling guilty and sad about his/her action |
| 6 | (Happy) A happy hotel staffs | (Happy) Happy customer |
| 7 | (Sad) A sad person who felt unsecured about the incoming marriage | (Frustrated) A person who frustrated about another person's insecureness |
| 8 | (Frustrated) A frustrated patience | (Neutral) A Doctor talking with the patience |
| 9 | (Neutral) A worker who assigned to tell his/her co-worker about the company's bad situation | (Sad) An employee feeling sad after listenning |
| 10 | (Angry) A person raging about another person's behavior | (Angry) A person who feels like being blamed by another person |
| 11 | (Frustrated) A director who unsatisfied co-worker | (Frustrated) A frustrated person who try their best on the job |
| 12 | (Happy) A person who gets a new job or promotion | (Sad) A person who desperate in his/her job |
| 13 | (Neutral) A patient inquire information | (Happy) A happy doctor telling his/her patience more information |
| 14 | (Angry) A person who upset with his/her work | (Neutral) A calm friend who listened to another person's problem |
| 15 | (Sad) A person sadly tell another person about a relationship | (Angry) A person who feels angry after listening to another person's bad relationship |
📋 Data Schema
The dataset includes detailed annotations and actor demographics (see header above).
📊 Dataset Statistics
| Recording Environment | Session | Utterances | Duration (hrs) |
|---|---|---|---|
| Zoom (20) | Script | 2,398 | 4.03 |
| Improvisation | 3,606 | 5.89 | |
| Studio (80) | Script | 9,582 | 13.69 |
| Improvisation | 12,268 | 18.01 | |
| Total (100) | Both | 27,854 | 41.61 |
📄 Paper
The associated research paper will be available soon at link will be updated soon.
💻 Code for Experiments
Experiment code is available on GitHub.
🔖 Version
- Version 2.0 (April 15, 2025): Fixed majority agreement calculation.
- Version 1.0 (March 26, 2021): Initial release.
📌 Citation
Please cite this dataset as:
AIResearch, VISTEC, depa, and Chulalongkorn University (2021). THAI-SER Dataset, Version 2.0. Creative Commons BY-SA 4.0.
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