VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents
Paper • 2605.30256 • Published • 4
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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<user_file_id: string, partner_file_id: string, label: string, split: string, t0: double, t1: double, dynamic_start_raw_s: double, dynamic_end_raw_s: double, mining_rule: string, evidence: string, lead_turns: int64, verify: struct<is_dynamic: bool, confidence: double, notes: string, refined: bool, cached: bool>, review: struct<decision: string, note: string, ts: timestamp[s]>>
to
{'user_file_id': Value('string'), 'partner_file_id': Value('string'), 'label': Value('string'), 'split': Value('string'), 't0': Value('float64'), 't1': Value('float64'), 'dynamic_start_raw_s': Value('float64'), 'dynamic_end_raw_s': Value('float64'), 'mining_rule': Value('string'), 'evidence': Json(decode=True), 'lead_turns': Value('int64'), 'verify': {'is_dynamic': Value('bool'), 'confidence': Value('float64'), 'notes': Value('string'), 'refined': Value('bool'), 'cached': Value('bool')}}
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<user_file_id: string, partner_file_id: string, label: string, split: string, t0: double, t1: double, dynamic_start_raw_s: double, dynamic_end_raw_s: double, mining_rule: string, evidence: string, lead_turns: int64, verify: struct<is_dynamic: bool, confidence: double, notes: string, refined: bool, cached: bool>, review: struct<decision: string, note: string, ts: timestamp[s]>>
to
{'user_file_id': Value('string'), 'partner_file_id': Value('string'), 'label': Value('string'), 'split': Value('string'), 't0': Value('float64'), 't1': Value('float64'), 'dynamic_start_raw_s': Value('float64'), 'dynamic_end_raw_s': Value('float64'), 'mining_rule': Value('string'), 'evidence': Json(decode=True), 'lead_turns': Value('int64'), 'verify': {'is_dynamic': Value('bool'), 'confidence': Value('float64'), 'notes': Value('string'), 'refined': Value('bool'), 'cached': Value('bool')}}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
clip_id string | conversation_id string | bucket string | dynamic_type string | dynamic_start_s float64 | dynamic_end_s float64 | duration_s float64 | user_audio_path string | user_video_path string | system_prompt string | agent_speaks_first bool | agent_channel string | av_caption string | user_words list | partner_audio_path string | partner_video_path string | source string | source_meta dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
V00_S0155_I00000461_P0222_c02 | V00_S0155_I00000461 | perception | Pause Handling | 9.34 | 10.432 | 17.532 | data/clips/V00_S0155_I00000461_P0222_c02/user.wav | data/clips/V00_S0155_I00000461_P0222_c02/user.mp4 | You are a warm and understanding conversational partner, engaged in a discussion about morning anxieties and planning. The user has shared that they don't like to plan things early in the morning due to anxiety, and they acknowledge your feelings about waking up. You've admitted that waking up makes you anxious, which ... | false | USER [0.0s] stands on a black balance board with red trim, positioned on the left side of the split screen. She wears a light blue t-shirt under a pink, velvet-like jacket, black pants, and white clogs. Her hands are placed on her hips, and she looks directly forward with a thoughtful expression as she begins to speak.... | [
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{
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{
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"mining_rule": "pause_handling",
"evidence": {
"rule": "pause_handling",... | |
V00_S0155_I00000461_P0223_c01 | V00_S0155_I00000461 | perception | Pause Handling | 14.908 | 16 | 24 | data/clips/V00_S0155_I00000461_P0223_c01/user.wav | data/clips/V00_S0155_I00000461_P0223_c01/user.mp4 | You are a warm and understanding conversational partner, engaged in a discussion about a moment of tension from earlier today. The user has just acknowledged being impatient and possibly rude to you this morning and has offered an apology. You responded by gently confirming that their behavior was a bit mean and rude, ... | false | The clip begins with both individuals standing on separate, dark-colored balance boards against a plain grey background.
USER (left pane): The man stands with his hands on his hips, wearing a dark green t-shirt and grey shorts. He looks towards the PARTNER.
PARTNER (right pane): The woman stands with her hands on her ... | [
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{
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"dynamic_start_raw_s": 37.486,
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"mining_rule": "pause_handling",
"evidence": {
"rule": "pause_handling"... | |
V00_S0155_I00000461_P0222_c01 | V00_S0155_I00000461 | generation | Turn-taking | 21.276 | 22.528 | 28.156 | data/clips/V00_S0155_I00000461_P0222_c01/user.wav | data/clips/V00_S0155_I00000461_P0222_c01/user.mp4 | You are a warm and understanding conversational partner, here to engage naturally with the user. The conversation has been about a moment of tension where you felt anxious and perhaps were short with the user. You admitted that you might not have realized your anxiety at the time, which led to a poor night's sleep. The... | true | The clip begins with the PARTNER speaking, looking down and to his left [0.0s], then briefly up at the USER [0.5s], before looking down again [1.5s] as he says that his previous shortness was perhaps due to something [0.0s-2.5s]. The USER, with a serious expression and hands clasped in front, then places her hands on h... | [
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{
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{
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"... | |
V00_S0155_I00000461_P0223_c00 | V00_S0155_I00000461 | generation | Turn-taking | 19.526 | 19.818 | 21.318 | data/clips/V00_S0155_I00000461_P0223_c00/user.wav | data/clips/V00_S0155_I00000461_P0223_c00/user.mp4 | You are a warm and understanding conversational partner, creating a space for open dialogue. The conversation has been focused on discussing moments where feelings might have been hurt, and you have been gently encouraging the user to reflect on any instances where this might have occurred. You've asked the user to thi... | true | **[0.0s]** The video begins with a split screen, showing a man (USER) on the left and a woman (PARTNER) on the right, both standing on balance boards against a plain grey background.
**[0.0s-0.2s]** PARTNER, with a slight smile and hands clasped behind her back, looks at the USER and says, "hurt my feelings."
**[0.2s-0... | [
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"gap_... | |
V00_S0155_I00000461_P0223_c04 | V00_S0155_I00000461 | generation | Turn-taking | 12.604 | 13.312 | 20.828 | data/clips/V00_S0155_I00000461_P0223_c04/user.wav | data/clips/V00_S0155_I00000461_P0223_c04/user.mp4 | You are an empathetic conversational partner, engaged in a discussion with the user about how they feel when they have commitments the next day that might affect their mood. The user has expressed that they tend to get more irritated when they have something to do the following day and acknowledged the importance of co... | true | [0.0s] USER begins speaking, standing upright on a black balance board with red trim. He wears a dark green t-shirt and grey shorts, with his feet slightly apart. He looks directly at the camera with a calm, slightly pensive expression, stating that if he has to do something the next day, he usually gets more irritated... | [
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... | |
V00_S0155_I00000461_P0222_c04 | V00_S0155_I00000461 | generation | Verbal Backchanneling | 28.692 | 29.608 | 37.608 | data/clips/V00_S0155_I00000461_P0222_c04/user.wav | data/clips/V00_S0155_I00000461_P0222_c04/user.mp4 | You are a warm and empathetic conversational partner. The user is expressing their feelings about a situation where they felt unfairly treated, mentioning that they were told they weren't loved. You've acknowledged their feelings, offering an apology and expressing your willingness to help prevent similar situations in... | true | USER and PARTNER stand facing forward, each on a black and red balance board, against a plain grey background.
USER, on the left, wears a light blue t-shirt, a pink velvet jacket, black pants, and white clogs. She stands with her hands on her hips throughout the clip. PARTNER, on the right, wears a dark green t-shirt,... | [
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"mining_rule": "verbal_backchanneling",
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"rule": "verbal... | |
V00_S0155_I00000461_P0222_c03 | V00_S0155_I00000461 | generation | Verbal Backchanneling | 15.028 | 16.328 | 24.328 | data/clips/V00_S0155_I00000461_P0222_c03/user.wav | data/clips/V00_S0155_I00000461_P0222_c03/user.mp4 | You are a warm and understanding conversational partner, tuned into the nuances of the discussion. The conversation is about managing emotions and communication, particularly around how stress from upcoming commitments can affect behavior. You've shared that you tend to get more irritated when you have something planne... | true | The video opens with the USER on the left and the PARTNER on the right, both standing on black platforms against a grey background.
PARTNER [0.0s]: Begins speaking, explaining that if he has to do something the next day, he usually gets more irritated. He looks forward with a neutral expression. His right hand is down... | [
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V00_S0155_I00000461_P0223_c03 | V00_S0155_I00000461 | generation | Verbal Interruption | 13.021 | 14.012 | 22.012 | data/clips/V00_S0155_I00000461_P0223_c03/user.wav | data/clips/V00_S0155_I00000461_P0223_c03/user.mp4 | You are a conversational agent with a warm and understanding demeanor. You're currently engaged in a conversation with someone who is feeling anxious about waking up early. You've been sharing your own preference for scheduling things later in the day to avoid that anxious feeling in the morning. You mentioned that you... | true | USER [0.0s] stands on a black balance board with red trim, facing the camera directly. He wears a dark green t-shirt, grey athletic shorts, and dark shoes. His arms hang relaxed at his sides, and he maintains a neutral, somewhat serious expression.
PARTNER [0.0s] stands on a similar black balance board with red trim, a... | [
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V00_S0314_I00000126_P0421_c03 | V00_S0314_I00000126 | perception | Pause Handling | 26.588 | 28.992 | 36.992 | data/clips/V00_S0314_I00000126_P0421_c03/user.wav | data/clips/V00_S0314_I00000126_P0421_c03/user.mp4 | You are a warm and engaging conversational partner, seamlessly integrating into a lively discussion about fitness and exercise routines. The USER has been sharing their enthusiasm for compound movements and reminiscing about their time doing CrossFit. You have been participating actively, acknowledging their points wit... | true | [0.00s] USER, wearing a maroon V-neck t-shirt and dark pants, stands with hands slightly raised, palms facing each other, speaking.
[0.00s] PARTNER, wearing a denim-like button-up shirt over a blue t-shirt and light pants, stands with hands at his sides, looking at the USER.
[0.00s] USER: "Yeah, thing is you schedule i... | [
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"mining_rule": "pause_handling",
"evidence": {
"rule": "pause_handli... | |
V00_S0314_I00000126_P0421_c00 | V00_S0314_I00000126 | perception | Pause Handling | 15.708 | 17.248 | 25.248 | data/clips/V00_S0314_I00000126_P0421_c00/user.wav | data/clips/V00_S0314_I00000126_P0421_c00/user.mp4 | You are a warm and engaging conversational partner, always ready to dive into discussions with curiosity and openness. The USER has been discussing elements they enjoy and want to incorporate into a challenge. You asked them what aspects they find fun and all-encompassing, and they mentioned having talked about this be... | true | The video opens with two men standing on separate balance boards, facing the camera. The USER is on the left, wearing a maroon t-shirt and dark pants. The PARTNER is on the right, in a blue t-shirt under a grey button-up shirt and light grey pants.
[0.0s] The USER begins speaking, looking at the PARTNER, saying, "Okay... | [
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"mining_rule": "pause_handling",
"evidence": {
"rule": "pause_handling",... | |
V00_S0314_I00000126_P0422_c03 | V00_S0314_I00000126 | perception | Pause Handling | 19.8 | 20.67 | 28.672 | data/clips/V00_S0314_I00000126_P0422_c03/user.wav | data/clips/V00_S0314_I00000126_P0422_c03/user.mp4 | You are a conversational agent who is warm and attentive, engaging in a casual chat with the user. The conversation has been light-hearted and revolves around the topic of incorporating physical activities like playing Frisbee into one's routine, especially as a way to break the monotony of sedentary jobs. The user men... | true | The clip begins with the USER [0.0s] speaking, smiling, and looking towards the PARTNER. He says, "Frisbee's definitely going to be in the thing. That's your Friday cheat day maybe." As he speaks, he gestures with his right hand, palm open, then brings both hands up slightly. The PARTNER [0.4s] smiles and nods, respond... | [
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V00_S0314_I00000126_P0421_c02 | V00_S0314_I00000126 | perception | Laughter | 27.104 | 32.686 | 40.686 | data/clips/V00_S0314_I00000126_P0421_c02/user.wav | data/clips/V00_S0314_I00000126_P0421_c02/user.mp4 | You are a warm and engaging conversational partner, eager to support and share in the enthusiasm of the conversation. The topic has been about incorporating habits into daily routines, specifically focusing on exercise. You've been discussing the importance of making these activities a regular part of life, suggesting ... | true | USER [0.0s] begins speaking, stating that something "hasn't been in my routine, it's not been my habit" [4.0s]. He maintains a neutral expression, looking forward, with his hands clasped together in front of him.
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V00_S0314_I00000126_P0421_c02 | V00_S0314_I00000126 | generation | Laughter | 27.104 | 32.686 | 40.686 | data/clips/V00_S0314_I00000126_P0421_c02/user.wav | data/clips/V00_S0314_I00000126_P0421_c02/user.mp4 | You are a warm and engaging conversational partner, eager to support and share in the enthusiasm of the conversation. The topic has been about incorporating habits into daily routines, specifically focusing on exercise. You've been discussing the importance of making these activities a regular part of life, suggesting ... | true | USER [0.0s] begins speaking, stating that something "hasn't been in my routine, it's not been my habit" [4.0s]. He maintains a neutral expression, looking forward, with his hands clasped together in front of him.
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V00_S0314_I00000126_P0421_c04 | V00_S0314_I00000126 | perception | Laughter | 5.92 | 7.996 | 14.204 | data/clips/V00_S0314_I00000126_P0421_c04/user.wav | data/clips/V00_S0314_I00000126_P0421_c04/user.mp4 | You are a friendly and approachable conversational agent, engaging in a light-hearted and playful exchange with the user. The conversation revolves around the topic of dodgeball, with the user humorously suggesting they would easily win against you. You acknowledged that you haven't played dodgeball in a long time, whi... | true | * **0.0s - 0.2s** USER begins speaking, smiling broadly with his lips closed. His gaze is directed towards the right, at the PARTNER. His hands are clasped together in front of his waist. PARTNER stands with a slight, closed-lip smile. His gaze is directed towards the left, at the USER. His hands rest at his sides.
*... | [
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V00_S0314_I00000137_P0421_c01 | V00_S0314_I00000137 | generation | Verbal Backchanneling | 30.676 | 31.624 | 39.624 | data/clips/V00_S0314_I00000137_P0421_c01/user.wav | data/clips/V00_S0314_I00000137_P0421_c01/user.mp4 | You are a conversational agent who is warm and understanding, providing support and guidance in discussions about managing emotions and communication in relationships. The user is sharing their struggles with handling heated situations and is reflecting on the importance of approaching conflicts with a calm mindset. Yo... | true | A split-screen video shows two men standing on balance boards against a grey background. The USER is on the left, wearing a maroon t-shirt and dark pants. The PARTNER is on the right, wearing a blue t-shirt under a grey button-up shirt and light grey pants.
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V00_S0314_I00000137_P0422_c05 | V00_S0314_I00000137 | generation | Verbal Backchanneling | 15 | 16.172 | 24.172 | data/clips/V00_S0314_I00000137_P0422_c05/user.wav | data/clips/V00_S0314_I00000137_P0422_c05/user.mp4 | You are a warm and attentive conversational partner, engaged in a discussion about timing and communication, particularly in romantic contexts. The user is reflecting on the importance of timing in conversations and expressing a sense of urgency or missed opportunities. You've been actively listening, offering brief af... | false | The video opens with two men standing side-by-side on dark, surfboard-shaped platforms against a plain grey background. The man on the left (USER) wears a blue t-shirt under an open grey button-up shirt and light grey pants, with white sneakers. The man on the right (PARTNER) wears a maroon t-shirt and dark pants, with... | [
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V00_S0314_I00000137_P0421_c02 | V00_S0314_I00000137 | generation | Verbal Backchanneling | 4.82 | 5.736 | 13.736 | data/clips/V00_S0314_I00000137_P0421_c02/user.wav | data/clips/V00_S0314_I00000137_P0421_c02/user.mp4 | You are a warm and engaging conversational partner, seamlessly blending into a discussion about mindset and self-perception. The user has been talking about the importance of avoiding a negative mindset, particularly one where they focus on personal faults. You recently interjected with a friendly "you know?" to signal... | true | The clip shows a side-by-side video of two men, USER on the left and PARTNER on the right, engaged in a conversation. Both are standing on what appear to be dark, surfboard-shaped platforms against a grey background.
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V00_S0314_I00000137_P0422_c04 | V00_S0314_I00000137 | perception | Pause Handling | 14.5 | 17 | 25.948 | data/clips/V00_S0314_I00000137_P0422_c04/user.wav | data/clips/V00_S0314_I00000137_P0422_c04/user.mp4 | You are a warm and attentive conversational partner, engaging naturally with the user. The user is discussing a situation involving someone else's behavior and the hope that they will engage in self-reflection over time. The user believes that allowing some time for this reflection is important, but they also acknowled... | false | **[0.0s-0.1s]** Both men stand facing the camera, each on a black, surfboard-shaped mat against a grey background.
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V00_S0314_I00000137_P0422_c03 | V00_S0314_I00000137 | perception | Pause Handling | 19.964 | 21.216 | 29.216 | data/clips/V00_S0314_I00000137_P0422_c03/user.wav | data/clips/V00_S0314_I00000137_P0422_c03/user.mp4 | You are an attentive and empathetic conversational partner, skilled at navigating sensitive topics with care. The user has been reflecting on past arguments and the importance of recognizing when emotions are running high. They mentioned the need to sometimes step back for the sake of the relationship, suggesting an aw... | true | [0.0s] USER: The video begins with the USER on the left and the PARTNER on the right, both standing on black platforms against a grey background. The USER, wearing a blue t-shirt under a grey button-up shirt and light grey pants, starts speaking, saying "kind of like" [0.0s] and then "we've gotten in arguments before" ... | [
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V00_S0314_I00000137_P0422_c01 | V00_S0314_I00000137 | perception | Pause Handling | 4.22 | 6.272 | 14.272 | data/clips/V00_S0314_I00000137_P0422_c01/user.wav | data/clips/V00_S0314_I00000137_P0422_c01/user.mp4 | You are a warm and engaging conversational partner, skilled at making people feel comfortable and understood. You've been having a light-hearted exchange with the user, where a bit of teasing about speaking up has come into play. You just reassured them with a playful "I'm kidding" repeated for emphasis, and then added... | true | The video displays a split screen, with the USER on the left and the PARTNER on the right, both standing on dark, surfboard-shaped platforms against a plain grey background.
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V00_S0314_I00000137_P0421_c00 | V00_S0314_I00000137 | perception | Laughter | 29.6 | 31.9 | 39.9 | data/clips/V00_S0314_I00000137_P0421_c00/user.wav | data/clips/V00_S0314_I00000137_P0421_c00/user.mp4 | you not speaking up or me? I think everyone has those moments where they wish they'd said something. It's like when you think of the perfect comeback hours later, right? It's a common experience, and sometimes it can be funny to look back on. What examples do you have in mind? I'm curious to hear your stories. Let's sh... | false | [0.0s] The USER, on the left, is a man with short brown hair, wearing a maroon V-neck t-shirt and black pants, standing on a dark balance board. The PARTNER, on the right, is a man with curly brown hair and a mustache, wearing a blue t-shirt under an open grey button-up shirt and light grey pants, also standing on a da... | [
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V00_S0314_I00000137_P0421_c00 | V00_S0314_I00000137 | generation | Laughter | 29.6 | 31.9 | 39.9 | data/clips/V00_S0314_I00000137_P0421_c00/user.wav | data/clips/V00_S0314_I00000137_P0421_c00/user.mp4 | you not speaking up or me? I think everyone has those moments where they wish they'd said something. It's like when you think of the perfect comeback hours later, right? It's a common experience, and sometimes it can be funny to look back on. What examples do you have in mind? I'm curious to hear your stories. Let's sh... | false | [0.0s] The USER, on the left, is a man with short brown hair, wearing a maroon V-neck t-shirt and black pants, standing on a dark balance board. The PARTNER, on the right, is a man with curly brown hair and a mustache, wearing a blue t-shirt under an open grey button-up shirt and light grey pants, also standing on a da... | [
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"laugh_s": 2.3,
"laugh_text"... | |
V00_S0314_I00000137_P0422_c00 | V00_S0314_I00000137 | generation | Laughter | 29.376 | 30.652 | 38.652 | data/clips/V00_S0314_I00000137_P0422_c00/user.wav | data/clips/V00_S0314_I00000137_P0422_c00/user.mp4 | You are a warm and engaging conversational partner, skilled at creating a comfortable atmosphere where laughter and honesty can flourish. You've been chatting with the user, and the conversation has taken a reflective turn. You just asked the user if there's a time they didn't speak up but now wish they had, inviting t... | true | The clip opens with two men standing on black, surfboard-like platforms against a plain grey background. The man on the left (USER) wears a blue t-shirt under an open grey button-up shirt and light grey pants. The man on the right (PARTNER) wears a maroon v-neck t-shirt and dark pants.
At [0.0s], the PARTNER is speaki... | [
{
"text": "Hit",
"start": 11.102,
"end": 11.222
},
{
"text": "me.",
"start": 11.242,
"end": 11.362
},
{
"text": "Of",
"start": 29.494,
"end": 29.614
},
{
"text": "me",
"start": 29.674,
"end": 29.794
},
{
"text": "not",
"start": 29.815,
"end... | data/clips/V00_S0314_I00000137_P0422_c00/partner.wav | data/clips/V00_S0314_I00000137_P0422_c00/partner.mp4 | seamless | {
"user_file_id": "V00_S0314_I00000137_P0422",
"partner_file_id": "V00_S0314_I00000137_P0421",
"label": "naturalistic",
"split": "test",
"t0": 10.13,
"t1": 48.782,
"dynamic_start_raw_s": 39.506,
"dynamic_end_raw_s": 40.782,
"mining_rule": "laughter_g",
"evidence": {
"laugh_s": 1.28,
"laugh_t... | |
V00_S0314_I00000137_P0422_c02 | V00_S0314_I00000137 | generation | Laughter | 29.17 | 31.47 | 39.47 | data/clips/V00_S0314_I00000137_P0422_c02/user.wav | data/clips/V00_S0314_I00000137_P0422_c02/user.mp4 | You are a warm and engaging conversational partner, adept at creating a comfortable and open atmosphere. The conversation has been light-hearted, with a touch of humor. You made a playful comment about the USER not speaking up, and they responded thoughtfully, reflecting on their tendency to assess situations before de... | true | USER, on the left, is a man with medium-length curly brown hair, wearing a blue t-shirt under a grey button-up shirt, and light grey pants with white sneakers. PARTNER, on the right, is a man with short brown hair, wearing a maroon v-neck t-shirt, black pants, and black sneakers. Both are standing on black, surfboard-s... | [
{
"text": "Of",
"start": 0,
"end": 0.014
},
{
"text": "me",
"start": 0.074,
"end": 0.194
},
{
"text": "not",
"start": 0.215,
"end": 0.355
},
{
"text": "speaking",
"start": 0.375,
"end": 0.635
},
{
"text": "up?",
"start": 0.695,
"end": 0.835... | data/clips/V00_S0314_I00000137_P0422_c02/partner.wav | data/clips/V00_S0314_I00000137_P0422_c02/partner.mp4 | seamless | {
"user_file_id": "V00_S0314_I00000137_P0422",
"partner_file_id": "V00_S0314_I00000137_P0421",
"label": "naturalistic",
"split": "test",
"t0": 39.73,
"t1": 79.2,
"dynamic_start_raw_s": 68.9,
"dynamic_end_raw_s": 71.2,
"mining_rule": "laughter_g",
"evidence": {
"laugh_s": 2.3,
"laugh_text": "... | |
V00_S0314_I00000128_P0421_c04 | V00_S0314_I00000128 | generation | Verbal Interruption | 11.79 | 12.188 | 20.188 | data/clips/V00_S0314_I00000128_P0421_c04/user.wav | data/clips/V00_S0314_I00000128_P0421_c04/user.mp4 | You are a conversational agent engaged in a discussion about the evolution of comedy with a human partner. The conversation has touched on how traditional forms of comedy are perceived as a dying art, with the USER agreeing that the landscape is changing. You've been discussing the rise of platforms like TikTok and how... | true | The video opens with two men standing on black platforms against a grey background, facing each other in a split-screen view. The PARTNER (right) states, "...a dying art" [0.0s], looking at the USER (left) with a slight smile. The USER nods slightly [0.7s] and looks down briefly [1.0s] before returning his gaze to the ... | [
{
"text": "It's",
"start": 0,
"end": 0.101
},
{
"text": "a",
"start": 0.121,
"end": 0.141
},
{
"text": "dying",
"start": 0.202,
"end": 0.522
},
{
"text": "art.",
"start": 0.622,
"end": 0.822
},
{
"text": "Yeah.",
"start": 2.144,
"end": 2.40... | data/clips/V00_S0314_I00000128_P0421_c04/partner.wav | data/clips/V00_S0314_I00000128_P0421_c04/partner.mp4 | seamless | {
"user_file_id": "V00_S0314_I00000128_P0421",
"partner_file_id": "V00_S0314_I00000128_P0422",
"label": "naturalistic",
"split": "test",
"t0": 233.954,
"t1": 254.142,
"dynamic_start_raw_s": 245.744,
"dynamic_end_raw_s": 246.142,
"mining_rule": "verbal_interruption",
"evidence": {
"rule": "verbal... | |
V00_S0314_I00000128_P0421_c01 | V00_S0314_I00000128 | generation | Verbal Interruption | 14.679 | 15.324 | 23.324 | data/clips/V00_S0314_I00000128_P0421_c01/user.wav | data/clips/V00_S0314_I00000128_P0421_c01/user.mp4 | You are a conversational agent engaging in a discussion about handling failure and public perception. The user is considering the emotional impact of public failure, drawing a parallel to an NFL player dropping a game-winning catch. They empathize with the idea of loving something that others criticize, but they also b... | true | The video shows two men, USER on the left and PARTNER on the right, standing on balance boards against a plain grey background, engaged in a conversation. Both are looking generally towards the camera, occasionally shifting their gaze to each other.
USER begins speaking at [0.0s], looking towards the camera and gestur... | [
{
"text": "Like",
"start": 0,
"end": 0.151
},
{
"text": "everyone",
"start": 0.291,
"end": 0.631
},
{
"text": "hates",
"start": 0.671,
"end": 0.932
},
{
"text": "this",
"start": 0.972,
"end": 1.132
},
{
"text": "thing",
"start": 1.192,
"end... | data/clips/V00_S0314_I00000128_P0421_c01/partner.wav | data/clips/V00_S0314_I00000128_P0421_c01/partner.mp4 | seamless | {
"user_file_id": "V00_S0314_I00000128_P0421",
"partner_file_id": "V00_S0314_I00000128_P0422",
"label": "naturalistic",
"split": "test",
"t0": 156.802,
"t1": 180.126,
"dynamic_start_raw_s": 171.481,
"dynamic_end_raw_s": 172.126,
"mining_rule": "verbal_interruption",
"evidence": {
"rule": "verbal... |
End of preview.
OpenVideoFDB manifests
Clip manifests for OpenVideoFDB, an open implementation of NVIDIA's VideoFDB benchmark for full-duplex audio-visual conversational agents (code · paper).
This dataset contains no media. Each row names a window inside a public recording of
Meta's Seamless Interaction
corpus; the clips are re-cut locally and deterministically with
uv run ovfdb rebuild --manifest <file>.
Files
| file | rows | what |
|---|---|---|
ovfdb_v0.jsonl |
118 | first mined set: 5 dialogue dynamics (60 rows) + 6 nonverbal dynamics (58 rows). Day-1 windows were selected using the partner's reaction, so the human reference passes the timing rules by construction; kept for reproducibility of results/v0_summary*.md. |
ovfdb_v1.jsonl |
60 | the 5 dialogue dynamics re-mined with user-cue-only rules and fixed post-cue windows. |
ovfdb_v1_reviewed.jsonl |
53 | v1 after a human review (7 rejects dropped). Use this one. |
reviews/ovfdb_v1.jsonl |
56 | the raw human decisions (accept / reject / unsure, notes, window fixes). |
Row schema (one row = one clip × bucket)
clip_id (Seamless file_id + _cNN), conversation_id, bucket (perception |
generation), dynamic_type (one of the 11 VideoFDB dynamics), dynamic_start_s,
dynamic_end_s, duration_s (clip-relative seconds), user_audio_path,
user_video_path, partner_audio_path, partner_video_path (local paths after rebuild),
system_prompt (agent-side prompt, GPT-4o), agent_speaks_first, av_caption
(Gemini Flash caption of the side-by-side clip), user_words (Seamless word timings,
clip-relative), source_meta (user_file_id, partner_file_id, raw t0/t1,
mining_rule, rule evidence, VLM verdict, review decision).
Dynamics
Perception: Pause Handling, Gaze Avoidance with Pause, Adaptor Handling, Nonverbal Interruption, Face Emotion Display, Nonverbal Backchanneling, Laughter. Generation: Face Emotion Display, Nonverbal Backchanneling, Laughter, Verbal Interruption, Verbal Backchanneling, Turn-taking, Emotion Matching.
Known limitations
- Source recordings are studio face-to-face conversations (two cameras), not video calls.
- Captions are machine-generated and occasionally attribute speech to the wrong speaker; the evaluation payload tells the judge to trust the per-channel transcripts for who said what.
- Verbal Backchanneling windows in v1 are breath points inside long user turns; real listeners say "mhm" there only ~10 % of the time (the paper's annotated windows give 69 %).
- Audio bleed between the two microphones can make a partner's laugh look like the user's.
Licence and attribution
CC BY-NC 4.0, the licence of the source corpus. Please attribute Meta AI's Seamless Interaction dataset (Agrawal et al., 2025) and cite the VideoFDB paper (arXiv 2605.30256). The NVIDIA VideoFDB dataset itself is gated and non-redistributable and is not part of this release.
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