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TRACE-Bench

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README.md ADDED
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1
+ ---
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+ license: cc-by-nc-sa-4.0
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+ language:
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+ - en
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+ pretty_name: TRACE-Bench
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+ size_categories:
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+ - 1K<n<10K
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+ task_categories:
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+ - video-text-to-text
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+ - question-answering
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+ tags:
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+ - affective-computing
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+ - emotion
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+ - video-understanding
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+ - multimodal
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+ - benchmark
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+ configs:
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+ - config_name: task_1_grounded_affect_recognition
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+ data_files:
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+ - split: test
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+ path: data/task_1_grounded_affect_recognition.jsonl
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+ - config_name: task_2_regulation_decoding
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+ data_files:
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+ - split: test
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+ path: data/task_2_regulation_decoding.jsonl
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+ - config_name: task_3_affective_cause_reasoning
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+ data_files:
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+ - split: test
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+ path: data/task_3_affective_cause_reasoning.jsonl
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+ - config_name: task_4_affective_effect_reasoning
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+ data_files:
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+ - split: test
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+ path: data/task_4_affective_effect_reasoning.jsonl
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+ - config_name: task_5_full_chain_reconstruction
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+ data_files:
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+ - split: test
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+ path: data/task_5_full_chain_reconstruction.jsonl
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+ ---
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+
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+ # TRACE-Bench
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+
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+ TRACE-Bench evaluates how models trace an emotion in a social video, from its causes to its consequences. Each item asks a model to watch a clip and fill a structured answer about one affective episode: what the subject feels, how it shows, whether the display is regulated, what caused the feeling, and what it changes in the people around.
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+
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+ Paper: [arXiv:2610.11410](https://arxiv.org/abs/2610.11410).
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+
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+ This repository holds the questions, the reference answers and the task instructions. The video clips and their subtitles are in the gated repository [county/TRACE-Bench-media](https://huggingface.co/datasets/county/TRACE-Bench-media).
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+
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+ ## Tasks
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+
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+ | Config | Task |
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+ |---|---|
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+ | `task_1_grounded_affect_recognition` | Task 1. Grounded Affect Recognition |
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+ | `task_2_regulation_decoding` | Task 2. Regulation Decoding |
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+ | `task_3_affective_cause_reasoning` | Task 3. Affective Cause Reasoning |
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+ | `task_4_affective_effect_reasoning` | Task 4. Affective Effect Reasoning |
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+ | `task_5_full_chain_reconstruction` | Task 5. Full Chain Reconstruction |
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+
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+ Every task is a single `test` split.
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+
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+ ## Files
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+
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+ ```
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+ data/
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+ task_1_grounded_affect_recognition.jsonl
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+ task_2_regulation_decoding.jsonl
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+ task_3_affective_cause_reasoning.jsonl
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+ task_4_affective_effect_reasoning.jsonl
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+ task_5_full_chain_reconstruction.jsonl
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+ videos.csv
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+ instructions/
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+ task_1_grounded_affect_recognition.md
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+ ...
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+ task_5_full_chain_reconstruction.md
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+ ```
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+
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+ Each line of a task file is one item.
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+
78
+ | Field | Meaning |
79
+ |---|---|
80
+ | `unique_id` | item id, `<video_id>_T<task>_<chain>_<k>` |
81
+ | `video_id` | the clip the item is about, a row of `videos.csv` |
82
+ | `task_id`, `task_name` | task number and name |
83
+ | `chain_id` | the affective chain inside the clip that the item belongs to |
84
+ | `known_fields` | the fields given in the question, as a JSON object |
85
+ | `question` | the prompt as a list of lines: task statement, focal context, known fields, answer template |
86
+ | `answer` | the reference answer, with the fields of the answer template that are populated |
87
+
88
+ `videos.csv` lists every clip with the collection it comes from: `video_id`, `source_collection`, `has_subtitle`.
89
+
90
+ `instructions/` holds one task instruction per task. It defines the fields of that task and their admissible values.
91
+
92
+ ## Loading
93
+
94
+ ```python
95
+ from datasets import load_dataset
96
+
97
+ from huggingface_hub import hf_hub_download
98
+
99
+ task = "task_1_grounded_affect_recognition"
100
+ items = load_dataset("county/TRACE-Bench", task, split="test")
101
+ instruction = open(hf_hub_download("county/TRACE-Bench", f"instructions/{task}.md", repo_type="dataset")).read()
102
+ prompt = instruction.strip() + "\n\n" + "\n".join(items[0]["question"])
103
+ ```
104
+
105
+ The prompt refers to the clip `items[0]["video_id"]`. A model receives the clip, its subtitles if it reads text, and the prompt, which is the task instruction followed by the question, and returns a JSON object that follows the answer template.
106
+
107
+ ## Evaluation
108
+
109
+ Categorical fields are compared directly with the reference, and free-text fields are rated by a judge model, as described in the paper.
110
+
111
+ ## License
112
+
113
+ The questions and the reference answers are released under [CC BY-NC-SA 4.0](LICENSE). The video clips are not part of this repository. They come from public collections and remain the property of their copyright holders, and they are available for non-commercial research under the terms of [county/TRACE-Bench-media](https://huggingface.co/datasets/county/TRACE-Bench-media).
114
+
115
+ ## Citation
116
+
117
+ ```bibtex
118
+ @article{li2026trace,
119
+ title = {Cognition-Oriented Emotion Tracing from Causes to Consequences in Real-World Social Scenes},
120
+ author = {Li, Hao and Zhang, Jinye and Li, Bobo and Lee, Mong-Li and Hsu, Wynne and Wang, Zheng and Fei, Hao and Zhang, Min},
121
+ journal = {arXiv preprint arXiv:2610.11410},
122
+ year = {2026},
123
+ eprint = {2610.11410},
124
+ archivePrefix = {arXiv},
125
+ primaryClass = {cs.AI}
126
+ }
127
+ ```
128
+
129
+ ## Contact
130
+
131
+ sc.lihao@whu.edu.cn
data/task_1_grounded_affect_recognition.jsonl ADDED
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data/task_2_regulation_decoding.jsonl ADDED
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data/task_3_affective_cause_reasoning.jsonl ADDED
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data/task_4_affective_effect_reasoning.jsonl ADDED
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data/task_5_full_chain_reconstruction.jsonl ADDED
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data/videos.csv ADDED
@@ -0,0 +1,552 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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instructions/task_1_grounded_affect_recognition.md ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Task 1. Grounded Affect Recognition
2
+
3
+ Given the focal subject and episode, infer the subject's affective state and its manifestation from the video.
4
+
5
+ ## Fields
6
+
7
+ `subject`: the focal person in the affective episode. Its value is given.
8
+
9
+ `affective_state`: what the subject feels.
10
+
11
+ - `object`: the person toward whom the affect is directed, identified by label or by description.
12
+ - `coarse_category`: the category of the subject's affective state, as a list of one or more of the 12 categories Anger, Anxiety, Disgust, Embarrassment, Fear, Frustration, Guilt, Happiness, Relief, Sadness, Surprise, Neutral.
13
+ - `fine_description`: free-form text giving the contextual nuance or blend of the affect.
14
+ - `polarity`: the valence of the affective state, one of Positive, Negative, Neutral, Mixed. Mixed means that positive and negative feelings coexist in the same person at the same moment. A mismatch between the affective state and its manifestation, or a change across moments, is not sufficient.
15
+ - `intensity`: the strength of the affective state, one of High, Medium, Low, None. Low is a mild feeling with little influence on attention or ongoing activity. Medium is a feeling that changes attention or response without dominating the episode. High is a strong feeling that dominates the person's concerns or creates an urgent need to respond.
16
+
17
+ `affective_manifestation`: the outward expressions corresponding to the affective state, each in free-form text.
18
+
19
+ - `facial_expression`: observable facial movement or configuration.
20
+ - `body_language`: observable posture, gesture, movement, or spatial behavior.
21
+ - `vocal_cues`: the acoustic and prosodic delivery of the subject's speech, such as tone, pitch, volume, pace, or rhythm.
22
+ - `verbal_content`: the subject's words or speech act.
23
+
24
+ ## Output
25
+
26
+ The answer is one JSON object with the fields of the answer template in the question. Placeholder entries in the template denote values to infer. The subject, object and recipient identifiers supplied in the template are fixed.
instructions/task_2_regulation_decoding.md ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Task 2. Regulation Decoding
2
+
3
+ Given the subject's felt affective state at the focal moment, read the outward display from the video and decide whether and how the subject regulates it relative to the given state.
4
+
5
+ ## Given fields
6
+
7
+ - `source_subject`: the focal person in the affective episode.
8
+ - `affective_state.object`: the person toward whom the affect is directed.
9
+ - `affective_state.coarse_category`: the category of the subject's felt affective state, one of the 12 categories Anger, Anxiety, Disgust, Embarrassment, Fear, Frustration, Guilt, Happiness, Relief, Sadness, Surprise, Neutral. It is the source state of the regulation.
10
+ - `affective_state.intensity`: the strength of the felt affective state, one of High, Medium, Low, None.
11
+
12
+ ## Answer fields
13
+
14
+ `subject`: the focal person. Its value is given.
15
+
16
+ `regulation_pathway`: the regulation, which relates the felt affective state to its outward manifestation.
17
+
18
+ - `tactic_type`: the regulatory relation between the source state and the target state, one of None, Suppression, Amplification, Substitution, Fabrication. When source and target share a non-neutral category, the relative intensity is the intensity conveyed by the manifestation relative to the felt intensity, one of lower, comparable, higher. The five tactics are defined as follows.
19
+ - None: source and target are both Neutral, or they share a non-neutral category and the relative intensity is comparable.
20
+ - Suppression: source and target share a non-neutral category and the relative intensity is lower.
21
+ - Amplification: source and target share a non-neutral category and the relative intensity is higher.
22
+ - Substitution: the source category is not Neutral, and the target category is neither the source category nor Neutral.
23
+ - Fabrication: the source category is Neutral and the target category is not Neutral.
24
+ - `goal`: free-form text stating the purpose of regulating the affective state.
25
+ - `target_affect_state`: the affective state the subject intends to manifest, as one of the 12 categories. Its intensity relative to the source is encoded by the tactic, not by this field. Under Suppression the target keeps the source category even when its outward expression becomes barely perceptible.
26
+ - `evidence`: free-form text describing the manifestation cues observed in the video that support the inferred regulation.
27
+
28
+ When `tactic_type` is `"None"`, `goal`, `target_affect_state` and `evidence` are not populated, and their values in a template-shaped answer are empty strings.
29
+
30
+ ## Output
31
+
32
+ The answer is one JSON object with the fields of the answer template in the question. Placeholder entries in the template denote values to infer. The subject, object and recipient identifiers supplied in the template are fixed.
instructions/task_3_affective_cause_reasoning.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Task 3. Affective Cause Reasoning
2
+
3
+ Given the subject's affective state, its manifestation, and any annotated regulation, reason backward to the affective cause requested by the answer template.
4
+
5
+ ## Given fields
6
+
7
+ - `source_subject`: the focal person in the affective episode.
8
+ - `affective_state`: what the subject feels.
9
+ - `object`: the person toward whom the affect is directed.
10
+ - `coarse_category`: the category of the affective state, one or more of the 12 categories Anger, Anxiety, Disgust, Embarrassment, Fear, Frustration, Guilt, Happiness, Relief, Sadness, Surprise, Neutral.
11
+ - `polarity`: the valence of the affective state, one of Positive, Negative, Neutral, Mixed.
12
+ - `intensity`: the strength of the affective state, one of High, Medium, Low, None.
13
+ - `affective_manifestation`: the outward expressions corresponding to the affective state.
14
+ - `facial_expression`: observable facial movement or configuration.
15
+ - `body_language`: observable posture, gesture, movement, or spatial behavior.
16
+ - `vocal_cues`: the acoustic and prosodic delivery of the subject's speech.
17
+ - `verbal_content`: the subject's words or speech act.
18
+ - `regulation_pathway`: the regulation, which relates the felt affective state to its outward manifestation. Its source state is the felt category involved in the regulation.
19
+ - `tactic_type`: the regulatory relation between the source state and the target state, one of None, Suppression, Amplification, Substitution, Fabrication. When source and target share a non-neutral category, the relative intensity is the intensity conveyed by the manifestation relative to the felt intensity, one of lower, comparable, higher.
20
+ - None: source and target are both Neutral, or they share a non-neutral category and the relative intensity is comparable.
21
+ - Suppression: source and target share a non-neutral category and the relative intensity is lower.
22
+ - Amplification: source and target share a non-neutral category and the relative intensity is higher.
23
+ - Substitution: the source category is not Neutral, and the target category is neither the source category nor Neutral.
24
+ - Fabrication: the source category is Neutral and the target category is not Neutral.
25
+ - `goal`: the purpose of regulating the affective state.
26
+ - `target_affect_state`: the affective state the subject intends to manifest, as one of the 12 categories.
27
+ - `evidence`: the manifestation cues that support the regulation.
28
+
29
+ ## Answer fields
30
+
31
+ `subject`: the focal person. Its value is given.
32
+
33
+ `affective_cause`: the antecedents most directly relevant to the subject's affective response, each in free-form text.
34
+
35
+ - `external_reality`: the objective event or external circumstance that triggers the subject's affect.
36
+ - `internal_driver`: the subject's belief, desire, or intention that gives the external circumstance its affective significance.
37
+
38
+ ## Output
39
+
40
+ The answer is one JSON object with the fields of the answer template in the question. Placeholder entries in the template denote values to infer. The subject, object and recipient identifiers supplied in the template are fixed.
instructions/task_4_affective_effect_reasoning.md ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Task 4. Affective Effect Reasoning
2
+
3
+ Given the subject's affective state, its manifestation, and any annotated regulation, reason forward to the downstream effect on the specified recipient along the requested effect channel.
4
+
5
+ ## Given fields
6
+
7
+ - `source_subject`: the focal person in the affective episode.
8
+ - `source_affective_state`: what the subject feels.
9
+ - `object`: the person toward whom the affect is directed.
10
+ - `coarse_category`: the category of the affective state, one or more of the 12 categories Anger, Anxiety, Disgust, Embarrassment, Fear, Frustration, Guilt, Happiness, Relief, Sadness, Surprise, Neutral.
11
+ - `fine_description`: the contextual nuance or blend of the affect.
12
+ - `polarity`: the valence of the affective state, one of Positive, Negative, Neutral, Mixed.
13
+ - `intensity`: the strength of the affective state, one of High, Medium, Low, None.
14
+ - `source_affective_manifestation`: the outward expressions corresponding to the affective state.
15
+ - `facial_expression`: observable facial movement or configuration.
16
+ - `body_language`: observable posture, gesture, movement, or spatial behavior.
17
+ - `vocal_cues`: the acoustic and prosodic delivery of the subject's speech.
18
+ - `verbal_content`: the subject's words or speech act.
19
+ - `source_regulation_pathway`: the regulation, which relates the felt affective state to its outward manifestation. Its source state is the felt category involved in the regulation.
20
+ - `tactic_type`: the regulatory relation between the source state and the target state, one of None, Suppression, Amplification, Substitution, Fabrication. When source and target share a non-neutral category, the relative intensity is the intensity conveyed by the manifestation relative to the felt intensity, one of lower, comparable, higher.
21
+ - None: source and target are both Neutral, or they share a non-neutral category and the relative intensity is comparable.
22
+ - Suppression: source and target share a non-neutral category and the relative intensity is lower.
23
+ - Amplification: source and target share a non-neutral category and the relative intensity is higher.
24
+ - Substitution: the source category is not Neutral, and the target category is neither the source category nor Neutral.
25
+ - Fabrication: the source category is Neutral and the target category is not Neutral.
26
+ - `goal`: the purpose of regulating the affective state.
27
+ - `target_affect_state`: the affective state the subject intends to manifest, as one of the 12 categories.
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+ - `evidence`: the manifestation cues that support the regulation.
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+ - `effect_type`: the requested effect channel, one of `mental_effect`, `affective_effect`, `physical_effect`.
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+ - `effect_recipient`: the recipient of the requested effect. The recipient may be the subject.
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+
32
+ ## Answer fields
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+
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+ `subject` identifies the source subject. `object`, when present, identifies the person toward whom the source affect is directed. Their values are given.
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+
36
+ The answer field is named by `effect_type`. An effect is a downstream consequence of the subject's affective response within the interaction, and is written in free-form text for the specified recipient.
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+
38
+ - `mental_effect`: what the recipient comes to believe, desire, or intend as a consequence.
39
+ - `affective_effect`: the affect the recipient experiences as a consequence.
40
+ - `physical_effect`: the recipient's resulting action, speech, or behavioral response.
41
+
42
+ An effect includes connected utterances or actions that respond to the subject's affective episode, even when they extend beyond the first response. It excludes reactions to a new event.
43
+
44
+ ## Output
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+
46
+ The answer is one JSON object with the fields of the answer template in the question. Placeholder entries in the template denote values to infer. The subject, object and recipient identifiers supplied in the template are fixed.
instructions/task_5_full_chain_reconstruction.md ADDED
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1
+ # Task 5. Full Chain Reconstruction
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+
3
+ Given the focal subject, the affective object, and an episode anchor, reconstruct the complete condition, affect, and effect chain of the affective episode from the video.
4
+
5
+ ## Given fields
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+
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+ - `subject`: the focal person in the affective episode.
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+ - `affect_object`, when present: the person toward whom the subject's affect is directed.
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+ - `focal_anchor`: the moment in the video at which the affective episode is anchored.
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+ - `given_affective_fields`: the affective fields supplied by the question. None are supplied.
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+
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+ ## Answer fields
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+
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+ In the answer template, `<TBI>` marks a value to be inferred, with the JSON type given below. `coarse_category` is an array of category strings.
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+
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+ `1_condition`: the condition from which the subject's affective response emerges.
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+
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+ - `subject`: the focal person. Its value is given.
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+ - `causal_analysis`: the affective cause, the antecedents most directly relevant to the response, each in free-form text.
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+ - `external_reality`: the objective event or external circumstance that triggers the subject's affect.
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+ - `internal_driver`: the subject's belief, desire, or intention that gives the external circumstance its affective significance.
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+
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+ `2_affect`: the subject's affective response.
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+
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+ - `affective_state`: what the subject feels.
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+ - `object`, when present: the person toward whom the affect is directed. Its value is given.
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+ - `coarse_category`: the category of the subject's affective state, as a list of one or more of the 12 categories Anger, Anxiety, Disgust, Embarrassment, Fear, Frustration, Guilt, Happiness, Relief, Sadness, Surprise, Neutral.
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+ - `fine_description`: free-form text giving the contextual nuance or blend of the affect.
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+ - `intensity`: the strength of the affective state, one of High, Medium, Low, None. Low is a mild feeling with little influence on attention or ongoing activity. Medium is a feeling that changes attention or response without dominating the episode. High is a strong feeling that dominates the person's concerns or creates an urgent need to respond.
30
+ - `polarity`: the valence of the affective state, one of Positive, Negative, Neutral, Mixed. Mixed means that positive and negative feelings coexist in the same person at the same moment. A mismatch between the affective state and its manifestation, or a change across moments, is not sufficient.
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+ - `affective_manifestation`: the outward expressions corresponding to the affective state, each in free-form text.
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+ - `facial_expression`: observable facial movement or configuration.
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+ - `body_language`: observable posture, gesture, movement, or spatial behavior.
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+ - `vocal_cues`: the acoustic and prosodic delivery of the subject's speech, such as tone, pitch, volume, pace, or rhythm.
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+ - `verbal_content`: the subject's words or speech act.
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+ - `regulation_pathway`: the regulation, which relates the felt affective state to its outward manifestation.
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+ - `tactic_type`: the regulatory relation between the source state and the target state, one of None, Suppression, Amplification, Substitution, Fabrication. When source and target share a non-neutral category, the relative intensity is the intensity conveyed by the manifestation relative to the felt intensity, one of lower, comparable, higher.
38
+ - None: source and target are both Neutral, or they share a non-neutral category and the relative intensity is comparable.
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+ - Suppression: source and target share a non-neutral category and the relative intensity is lower.
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+ - Amplification: source and target share a non-neutral category and the relative intensity is higher.
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+ - Substitution: the source category is not Neutral, and the target category is neither the source category nor Neutral.
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+ - Fabrication: the source category is Neutral and the target category is not Neutral.
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+ - `goal`: free-form text stating the purpose of regulating the affective state.
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+ - `source_affect_state`: the affective state before regulation, as one of the 12 categories. When the affective state has several categories, it is the category involved in the regulation.
45
+ - `target_affect_state`: the affective state the subject intends to manifest, as one of the 12 categories. Its intensity relative to the source is encoded by the tactic, not by this field. Under Suppression the target keeps the source category even when its outward expression becomes barely perceptible.
46
+
47
+ `3_effect`: the downstream consequences of the subject's affective response within the interaction, each in free-form text. Each channel has its own specified recipient, who may be the subject.
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+
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+ - `mental_effect`: what the recipient comes to believe, desire, or intend as a consequence.
50
+ - `affective_effect`: the affect the recipient experiences as a consequence.
51
+ - `physical_effect`: the recipient's resulting action, speech, or behavioral response.
52
+
53
+ An effect includes connected utterances or actions that respond to the subject's affective episode, even when they extend beyond the first response. It excludes reactions to a new event.
54
+
55
+ ## Output
56
+
57
+ The answer is one JSON object with the fields of the answer template in the question. Placeholder entries in the template denote values to infer. The subject, object and recipient identifiers supplied in the template are fixed.