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Duplicate from jiawei-ucas/OmniBehavior

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Co-authored-by: Jiawei Chen <jiawei-ucas@users.noreply.huggingface.co>

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  1. .gitattributes +210 -0
  2. LICENSE +437 -0
  3. README.md +204 -0
  4. assets/OmniBehavior.jpg +3 -0
  5. assets/multi_scenario.jpg +3 -0
  6. raw_user_data/en/user_001.json +2564 -0
  7. raw_user_data/en/user_002.json +3 -0
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  17. raw_user_data/en/user_012.json +3 -0
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README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-nc-sa-4.0
3
+ task_categories:
4
+ - text-generation
5
+ language:
6
+ - en
7
+ - zh
8
+ tags:
9
+ - user_behavior
10
+ - evaluation
11
+ - benchmark
12
+ pretty_name: OmniBehavior
13
+ size_categories:
14
+ - 1M<n<10M
15
+ ---
16
+ <a id="readme-top"></a>
17
+
18
+ <div align="center">
19
+ <h2 align="center">OmniBehavior: Towards Real-world Human Behavior Simulation</h2>
20
+
21
+ <p align="center">
22
+ Benchmarking LLMs on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces
23
+ </p>
24
+ </div>
25
+
26
+
27
+ <p align="center">
28
+ 🌐 <a href="https://omnibehavior.github.io/" target="_blank">Website</a> &nbsp; | &nbsp;
29
+ 📃 <a href="https://arxiv.org/abs/2604.08362" target="_blank">Paper</a> &nbsp; | &nbsp;
30
+ 💻 <a href="https://github.com/icip-cas/OmniBehavior">Code</a> &nbsp; | &nbsp;
31
+ 🥳 <a href="#citation">Citation</a>
32
+ </p>
33
+
34
+ > 🚀 **The full OmniBehavior dataset is now publicly available on HuggingFace, including complete raw user behavior traces, evaluation code, and synchronized releases of both Chinese and English versions.**
35
+ >
36
+ > 📥 Download here: [OmniBehavior Dataset](https://huggingface.co/datasets/jiawei-ucas/OmniBehavior)
37
+
38
+
39
+ <p align="center">
40
+ <img src="assets/OmniBehavior.jpg" width="95%" />
41
+ </p>
42
+
43
+ ## What's New
44
+
45
+ - **[2026.05.18]** We have **released the complete dataset and evaluation code**! Please check them out and feel free to use them in your research. ✨
46
+ - **[2026.04.10]** We have released the **OmniBehavior** paper! Please check it out for more details on our comprehensive user behavior analysis. 🔥🔥🔥
47
+
48
+ ## Multiple Scenarios
49
+
50
+ **OmniBehavior** captures real user behaviors across several interactive scenarios in [Kuaishou](https://www.kuaishou.com/):
51
+
52
+
53
+ | Scene Type | Description |
54
+ | :------------------ | :---------------------------------------------------------------------------------------------------------------------------------------------- |
55
+ | **Live Streaming** | Interactions within live stream rooms (e.g., watching duration, comments, likes, gifts). |
56
+ | **Video Browsing** | Behaviors related to browsing and watching short videos. |
57
+ | **E-commerce** | Shopping-related activities, including browsing products, managing carts, purchasing, and interactions with customer service agents. |
58
+ | **Advertisement** | User interactions with recommended advertisements (views, clicks, conversions). |
59
+ | **Search Behavior** | All in-app search activities, including but not limited to video and marketplace queries. |
60
+
61
+
62
+ ### Dataset Highlights
63
+
64
+ The released dataset contains user behavior traces from [Kuaishou](https://www.kuaishou.com/):
65
+
66
+ - **Long-term Observation**: The data spans **90 days** (from `2025-09-01` to `2025-11-30`), providing a substantial timeline to observe evolving user interests and habitual patterns.
67
+ - **Real Interaction**: The dataset contains lots of **real actions**, capturing a consistent and detailed trail of user interactions.
68
+ - **Comprehensive Scenario Coverage**: The schema supports capturing behavior across **mainstream short-video platform scenarios**.
69
+
70
+ ### Case Study Value
71
+
72
+ The long-horizon traces make the dataset useful for several research directions:
73
+ 1. **Long-term Interest Modeling**: The 3-month span allows for the specific tracking of interest shifts and stability over time.
74
+ 2. **Cross-Domain Behavior Analysis**: By covering diverse scenarios, it enables research into how behaviors in one domain (e.g., watching a streamer) correlate with actions in another (e.g., purchasing products or clicking ads).
75
+ 3. **User Behavior Simulation**: This detailed trajectory provides a ground truth for building user simulators, allowing to evaluate how well agents can simulate real, long-term human behavior patterns in complex environments.
76
+
77
+
78
+ <p align="center">
79
+ <img src="assets/multi_scenario.jpg" width="80%" />
80
+ </p>
81
+
82
+ ## Data Structure
83
+
84
+ The data is organized by user ID. Each user entry contains a textual profile and a chronological history of actions.
85
+
86
+
87
+ ```json
88
+ {
89
+ "user_ID": {
90
+ "user_profile": "Description of the user (e.g., demographics, education, etc.)...",
91
+ "action_history": [
92
+ {
93
+ "type": "Scenario Type",
94
+ "timestamp": "YYYY-MM-DD HH:MM:SS",
95
+ "context": {
96
+ "field_name": "value",
97
+ ...
98
+ },
99
+ "action": [
100
+ {
101
+ "type": "specific_behavior",
102
+ "attribute": "value"
103
+ }
104
+ ...
105
+ ]
106
+ },
107
+ ...
108
+ ]
109
+ }
110
+ }
111
+ ```
112
+
113
+ <a id="installation-and-usage"></a>
114
+ ## Installation and Usage
115
+
116
+ ### Setup
117
+
118
+ ```bash
119
+ pip install -r requirements.txt
120
+ ```
121
+
122
+ Before running, download the user data provided with the paper and place the JSON files under:
123
+
124
+ ```txt
125
+ ./raw_user_data
126
+ ```
127
+
128
+ Model keys and endpoints are not included. Edit the placeholder values in `src/config.py` before running evaluation.
129
+
130
+ ### Model Deployment
131
+
132
+ For local model evaluation, we recommend serving models with [vLLM](https://github.com/vllm-project/vllm). See the vLLM repository for installation instructions.
133
+
134
+ Start an OpenAI-compatible vLLM server with:
135
+
136
+ ```bash
137
+ vllm serve $MODEL_PATH \
138
+ --port $PORT1 \
139
+ --served-model-name $SERVED_MODEL_NAME \
140
+ --enable-prefix-caching \
141
+ --enable-chunked-prefill \
142
+ -tp 8 \
143
+ --gpu_memory_utilization=0.9 \
144
+ --enable-prompt-tokens-details
145
+ ```
146
+
147
+ Then add the endpoint to `MODELS_TO_EVALUATE` in `src/config.py`:
148
+
149
+ ```python
150
+ {
151
+ "name": "YourModel", # Referenced by the MODEL variable in scripts/*.sh.
152
+ "type": "openai_compatible",
153
+ "api_key": "sk-dummy",
154
+ "endpoints": [
155
+ {"url": "http://HOST:PORT/v1", "max_workers": 20},
156
+ ],
157
+ "model": "SERVED_MODEL_NAME", # Must match $SERVED_MODEL_NAME used by vLLM.
158
+ "temperature": 0.1,
159
+ "use_logprobs": False,
160
+ }
161
+ ```
162
+
163
+ ### Example Script
164
+
165
+ ```bash
166
+ bash scripts/gpt5.sh
167
+ ```
168
+
169
+ ## License and Ethics
170
+
171
+ This code and dataset are released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) for non-commercial use only. Any commercial use requires prior formal permission.
172
+
173
+ This dataset may include information derived from real users. While efforts have been made to anonymize sensitive data, privacy risks may remain. By accessing or using this dataset, you agree to use it only for lawful, ethical, and privacy-preserving purposes. You must not use it to identify, re-identify, contact, profile, track, or infer the identity of any individual.
174
+
175
+
176
+ Use of this dataset indicates your agreement to comply with all applicable privacy, data protection, and research ethics requirements.
177
+
178
+ Shield: [![CC BY-NC-SA 4.0][cc-by-nc-sa-shield]][cc-by-nc-sa]
179
+
180
+ This work is licensed under a
181
+ [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
182
+
183
+ [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
184
+
185
+ [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
186
+ [cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
187
+ [cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg
188
+
189
+ <a id="citation"></a>
190
+ ## 📝 Citation
191
+
192
+ If you find our work useful in your research, please consider citing our paper.
193
+
194
+ ```bibtex
195
+ @misc{chen2026omnibehavior,
196
+ title={Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces},
197
+ author={Jiawei Chen and Ruoxi Xu and Boxi Cao and Ruotong Pan and Yunfei Zhang and Yifei Hu and Yong Du and Tingting Gao and Yaojie Lu and Yingfei Sun and Xianpei Han and Le Sun and Xiangyu Wu and Hongyu Lin},
198
+ year={2026},
199
+ eprint={2604.08362},
200
+ archivePrefix={arXiv},
201
+ primaryClass={cs.CL},
202
+ url={https://arxiv.org/abs/2604.08362},
203
+ }
204
+ ```
assets/OmniBehavior.jpg ADDED

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  • Pointer size: 131 Bytes
  • Size of remote file: 338 kB
assets/multi_scenario.jpg ADDED

Git LFS Details

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  • Pointer size: 132 Bytes
  • Size of remote file: 1.24 MB
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1
+ {
2
+ "user_001": {
3
+ "user_profile": "This is a female user on the platform aged 50+, with high school education or below, has a partner, and has children",
4
+ "action_history": [
5
+ {
6
+ "type": "Advertisement",
7
+ "timestamp": "2025-09-02",
8
+ "context": {
9
+ "product": "The peaches have arrived.",
10
+ "industry_main": "Food and Beverage",
11
+ "industry_sub": "Condiments",
12
+ "is_verified": null,
13
+ "verification_type": null,
14
+ "fans_user_num": null,
15
+ "fans_user_num_op_range": null,
16
+ "caption": null,
17
+ "photo_type": null,
18
+ "duration": null,
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+ "play_cnt": null,
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+ "upload_timestamp": null,
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+ "like_cnt": null,
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+ "comment_cnt": null,
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+ "follow_cnt": null,
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+ "share_cnt": null,
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+ "download_cnt": null,
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+ "collect_cnt": null,
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+ "report_cnt": null,
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+ "reduce_similar_cnt": null,
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+ "ocr_text": null,
32
+ "asr_text": null
33
+ },
34
+ "action": [
35
+ {
36
+ "type": "conversion",
37
+ "conversion_cnt": 2
38
+ }
39
+ ]
40
+ },
41
+ {
42
+ "type": "Advertisement",
43
+ "timestamp": "2025-09-11",
44
+ "context": {
45
+ "product": "A small shop selling imported health supplements with a middle part hairstyle",
46
+ "industry_main": "Daily chemical products",
47
+ "industry_sub": "Daily Chemical Washing and Care",
48
+ "is_verified": null,
49
+ "verification_type": null,
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+ "fans_user_num_op_range": null,
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+ },
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+ "action": [
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+ {
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+ "type": "conversion",
73
+ "conversion_cnt": 2
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+ }
75
+ ]
76
+ },
77
+ {
78
+ "type": "Advertisement",
79
+ "timestamp": "2025-09-12",
80
+ "context": {
81
+ "product": "Huba Nifengerhang Enterprise Store",
82
+ "industry_main": "Clothing and Accessories",
83
+ "industry_sub": "Women's clothing",
84
+ "is_verified": null,
85
+ "verification_type": null,
86
+ "fans_user_num": null,
87
+ "fans_user_num_op_range": null,
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+ "caption": null,
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+ "duration": null,
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+ "show_cnt": 6,
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+ "upload_timestamp": null,
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+ },
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+ "action": [
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+ {
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+ "type": "conversion",
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+ "conversion_cnt": 3
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+ }
111
+ ]
112
+ },
113
+ {
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+ "type": "Advertisement",
115
+ "timestamp": "2025-09-12",
116
+ "context": {
117
+ "product": "Shang Erji",
118
+ "industry_main": "Daily chemical products",
119
+ "industry_sub": "Household Care Products",
120
+ "is_verified": null,
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+ },
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+ "action": [
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+ {
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+ "type": "conversion",
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+ "conversion_cnt": 2
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+ },
147
+ {
148
+ "type": "comment",
149
+ "is_comment": true
150
+ }
151
+ ]
152
+ },
153
+ {
154
+ "type": "Advertisement",
155
+ "timestamp": "2025-09-12",
156
+ "context": {
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+ "product": "The peaches have arrived.",
158
+ "industry_main": "Food and Beverage",
159
+ "industry_sub": "Condiments",
160
+ "is_verified": null,
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+ "verification_type": null,
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+ "fans_user_num": null,
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+ "fans_user_num_op_range": null,
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+ "collect_cnt": null,
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+ "report_cnt": null,
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+ "reduce_similar_cnt": null,
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+ "ocr_text": null,
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+ "asr_text": null
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+ },
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+ "action": [
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+ {
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+ "type": "conversion",
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+ "conversion_cnt": 1
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+ },
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+ {
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+ "type": "comment",
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+ "is_comment": true
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+ }
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+ ]
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+ },
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+ {
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+ "type": "Advertisement",
195
+ "timestamp": "2025-09-12",
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+ "context": {
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+ "product": "Shang Erji",
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+ "industry_main": "Daily chemical products",
199
+ "industry_sub": "Household Care Products",
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+ "is_verified": null,
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+ "action": [
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+ {
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+ "type": "conversion",
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+ "conversion_cnt": 1
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+ },
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+ {
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+ "type": "comment",
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+ "is_comment": true
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+ }
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+ ]
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+ },
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+ {
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+ "type": "Advertisement",
235
+ "timestamp": "2025-09-12",
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+ "context": {
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+ "product": "The peaches have arrived.",
238
+ "industry_main": "Food and Beverage",
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+ "industry_sub": "Condiments",
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+ "is_verified": null,
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+ "verification_type": null,
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+ "fans_user_num": null,
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+ "fans_user_num_op_range": null,
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+ "type": "conversion",
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+ "conversion_cnt": 1
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+ }
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+ ]
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+ },
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+ {
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+ "type": "Advertisement",
271
+ "timestamp": "2025-09-13",
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+ "context": {
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+ "product": "Shang Erji",
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+ "industry_main": "Daily chemical products",
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+ "industry_sub": "Household Care Products",
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+ "is_verified": null,
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+ },
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+ "action": [
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+ "type": "conversion",
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+ "conversion_cnt": 2
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+ },
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+ {
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+ "type": "comment",
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+ "is_comment": true
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+ }
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+ ]
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+ },
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+ {
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+ "ocr": "Selling fake vermicelli will leave you without descendants. Defrauding common people will give your whole family cancer. Production License Number: QS455564. Address: Yongjin Village, Huansheng Township, Qing'an County, Heilongjiang Province (former Yongjin Primary School). Phone: 0455-8820123. Product Name: Yufeng Fuheng Vermicelli. Manufacturer: Qing'an County Fuheng Starch Products Factory. Address: Yongjin Village, Huansheng Township, Qing'an County, Heilongjiang Province (former Yongjin Primary School). Contact Phone: 0455-8820123. Nutrition Facts: Energy 1377 kilojoules, Carbohydrates 1 gram, Protein 26 milligrams. Storage Conditions: Store in a cool, dry place. Test Report Number: SP25080043. Sample Name: Yufeng Fuheng Vermicelli. Client: Qing'an County Fuheng Starch Products Factory. Test Category: Commissioned Testing. Testing Institution: Heilongjiang Zhongnuo Inspection and Testing Co., Ltd. Sample Quantity: 5kg. Production Date: August 04, 2025. Sample Grade: Excellent. Trademark: Yufeng. Sample Condition: Good. Manufacturer and Address: Yongjin Village, Huansheng Township, Qing'an County, Heilongjiang Province (former Yongjin Primary School). Sample Receipt Date: August 04, 2025. Testing Date: August 04, 2025. Test Items: Sensory, moisture, new strip rate, and 15 other items. Testing Standards: GB/T23587-2024 (General Rules for Quality of Starch Products), GB2760-2024 (National Food Safety Standard for the Use of Food Additives), GB2762-2022 (National Food Safety Standard for Maximum Levels of Contaminants in Foods), GB7718-2011 (National Food Safety Standard for General Rules for the Labeling of Prepackaged Foods), GB28050-2011 (National Food Safety Standard for General Rules for Nutrition Labeling of Prepackaged Foods). State Administration for Market Regulation Order No. 70 \"Measures for Metrological Supervision and Administration of Quantitatively Packaged Commodities\". Test Conclusion: After testing, all indicators of the sample meet the requirements. Issue Date: August 11, 2025.",
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+ "asr": "Listen up, you damn internet influencers and streamers, I'm telling you, you're fucking scamming ordinary people. You do PK battles begging for gifts, you run events, you harvest your followers like leeks. You sell fucking nutritional supplements, health products, and green products, scamming old men and cheating old ladies - you're not even human. You're all sons of bitches, sons of your Japanese bastard fathers. And those shady medical ones too, all you big and small influencers and streamers selling goods, selling fake goods. You're all spawned by Japanese. You sell fake vermicelli, fake wood ear mushrooms, fake honey - you're not human, you bastards, just cheating ordinary people. Scamming old men and old ladies, sooner or later you'll get run over by a car. The money you earn won't bring you any good. Selling nutritional supplements and health products. Selling cucumber seed powder, all fake with commissions - you make 50 bucks specifically scamming and cheating people. What good will come to you, tell me. The ordinary people trust you, support you, buy things in your livestream, and then you scam and cheat them. You conceal facts and exaggerate in your promotions. You sell Chaoyang Liujia vermicelli, then you say it's fucking sweet potato vermicelli, yam vermicelli. You streamers just cheat your fans. You're immoral streamers. There are many immoral streamers in Heilongjiang - I'm cursing you all. You better fucking behave yourselves from now on. The money you earn through scamming won't bring you any good - your ancestors and descendants won't have anything good, you'll get your retribution, I'm telling you. If you keep cheating, your sons and grandsons will be born with cerebral palsy. You fucking lie with your eyes wide open. In Wuming, Nanning, Guangxi, selling mangoes. You sell links claiming 4.5 to 5 jin, you pretend to be blind yourself, and treat your fans like they're blind. Your scale is short by half a jin. Whatever the scale says minus half a jin. If you sell 4.5 jin, you only send 4.5 jin net. If you sell 5 jin, you only send 5 jin net. If you're afraid of short weight, give an extra 2 liang. Right? If you're afraid of not making money, charge a couple bucks more. You cheat your fans playing word games, playing tricks - are you even human? Don't say you're from Heilongjiang. Heilongjiang doesn't have you bunch of scammers, you Japanese bastards, bringing shame to Heilongjiang people. Immoral streamers, and those from Jilin too. There's one called \"Second Brother\" who does morning exercise circles for weight loss and makes food videos. He's been selling fake Chaoyang Liujia vermicelli for five or six years - sooner or later you won't die well either. You cheat ordinary people and fans. You clearly know the vermicelli is made from tapioca starch. But you insist your vermicelli is made from sweet potato starch - you're not human, you bastard, cheating ordinary people. And you brainless fans buying goods, open your damn eyes. Don't buy vermicelli without inspection reports. Don't buy fake goods just because they're cheap, you idiots. Cheap stuff saves money but costs your life. When you spend money, buy real goods. Look at our stuff. Look at our vermicelli - this is what humans should eat. Regular factory, supports inspection, if fake we'll compensate ten thousand times. Whoever sells fake goods will have no descendants, see? I'll take you into the workshop to look. See this vermicelli? Pure as hell, no fake goods. Whoever sells fake goods will have no descendants, see? This stuff here. Good or not, see for yourself. Spend money on real goods, don't be a brainless fan. Don't be a brainless fan. See, mixing the dough. It's all bubbly. See how good it is? Wipe it clean, hey, get lost. Hey, wipe it clean and fix it up. Environmental hygiene must be maintained. Regular factory supports inspection, if fake compensate ten thousand times. So good, no fake goods. Just look for that powder, potatoes - we don't use potatoes, we use refined potato starch. This is all starch, for making pulp. All starch. See these big tanks? Ten tanks on both sides. Fermenting the dough, fermenting. All starch. See? Then it has to be filtered in there. If not today, then tomorrow. Pure as hell, good as hell. There are three more processes, so many. In total, there are like 20 processes. One process here, one process there. It has to be filtered again tomorrow, no fake goods. We all use refined potato starch, see? All refined potato starch, we don't use potatoes at all. Brothers, see? This is all fermented starch. We don't use potatoes, understand? Don't use potatoes, don't look for potatoes here. All refined potato starch. After spinning it over there, the starch comes out here. I love you. Then it spins. Look at this dough going in here. It's very cool in here. When it's hot in summer, we have to run air conditioning in here. Leave it in here overnight. Drain the water overnight, then take it out to dry tomorrow. It has to drain in here for a night, then take it out to dry tomorrow. The temperature can't be high in here, or it'll spoil, right? It'll turn sour. See this air conditioner? There are two drying areas, front and back. Brothers, we can produce over 10,000 jin of dried vermicelli a day. Let me take you to the warehouse to see what we're sending you brothers. It's all this pole, one big bag is 5 jin. This pole, cut from the middle. Cut from the middle, then cut a bit more, cut a bit more, then send it to you. Two warehouses. This warehouse has wide noodles, this warehouse has round noodles. All vermicelli, see? Hey, some are packaged, some aren't. Our vermicelli is 5 jin per bag, brothers. 5 jin per bag, regular factory supports inspection, if fake compensate ten thousand times. See? All with factory labels, and inspection reports, see? Friends, there are many selling vermicelli on the internet. Many selling vermicelli. If there's no quality inspection report, don't buy it. First, it's a three-no product. Second, fake vermicelli doesn't have quality inspection reports. Ours must be real. You can watch, record the screen anytime, report anytime, investigate anytime. Regular factory supports inspection, if fake compensate ten thousand times, understand? This vermicelli, brothers, is 5 jin per bag. Delivered to your door for 39.9. That's 8 yuan per jin. Isn't it better than the 23 yuan stuff you buy in other livestreams? If I'm lying, may I get hit by a car when I go out. Understand? I've put the link in the lower left corner of the video. 39.9 for a 5-jin bag. Delivered to your door, sent via ZTO Express."
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