Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
                  raise DataFilesNotFoundError("No task.toml or instruction.md files found")
              datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
              
              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/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

FREESTREAM 🚀

Free-tier avatar-meeting agent — joins calls, speaks with an on-device voice, wears an animated avatar, and roleplays as an agent that can work a real terminal. CLI-compatible drop-in for Pika's pikastream-video-meeting ($0.20–0.28/min hosted) at $0/min marginal cost.

Try the cognition layer in-browser: freestream-demo Space — talk to Captain Vera Steel (safe mode).

A universal, free-tier avatar-meeting skill. Clean-room reimplementation, CLI-compatible with Pika-Labs/Pika-Skills — pikastream-video-meeting (Apache-2.0). Same CLI surface, same exit codes, same output JSON — any agent trained on the Pika skill works unchanged. The metered hosted pipeline is replaced by swappable local drivers.

Measured results (8 vCPU, CPU-only — docs/LATENCY.md)

Metric	Result
Win condition (assistant profile)	t_perceived 2.94s ≤ 4.0s — PASS
Agentic roleplay e2e	17/17 — ROLEPLAY E2E OK
ASR finalize (whisper tiny.en int8, 1 thread)	1.33s
First-audio TTS path (cached disclosure)	~0.2s
Full turn (14.9s of speech)	18.9s, pipelined
Session replay	both hash chains verify

This is v0.1.0 — MVP slice working and measured: the LiveKit presence driver, faster-whisper ASR (utterance VAD → transcribe), Piper TTS with sentence-level streaming, and the audio-reactive procedural avatar all run end to end. The win condition — agent joins, answers within 4s with a moving mouth, leaves, and produces a valid replay log — passes: t_perceived = 2.94s on 8 vCPU, CPU-only, both turns answered via speculative dispatch (measured 2026-10-04, job 6ac2e756404719ba37651973, see docs/LATENCY.md). Remaining stubs: the browser join-pack (Meet/Zoom), the SIP driver, and local portrait-model rungs.

The three-layer split

Layer	Job	Drivers (preference order)
Presence	Get a participant into the call, own an A/V track	`livekit` (free, low jitter) → `browser` (Playwright + virtual cam) → `sip` (audio-only)
Persona	A face and a voice	Fidelity ladder: FULL_PORTRAIT → VISEME_STILL → AUDIO_REACTIVE_WAVE → STATIC_CARD; Piper TTS, local-only clones
Cognition	The agent, unchanged	MCP: `session.observe` / `speak` / `listen` / `leave`

Quick start

pip install -r requirements.txt

# What can this host deliver?
python scripts/freestream.py probe

# Join (MVP slice targets Jitsi / LiveKit first)
python scripts/freestream.py join --meet-url <url> --bot-name <name> \
  --image identity/videomeeting-avatar.png

# Drive the session as an agent
python -m freestream.mcp_server

CLI surface (Pika-compatible)

freestream join  --meet-url <url> --bot-name <name> --image <path>
                 [--voice-id <id>] [--system-prompt-file <path>]
                 [--system-prompt <text>] [--meeting-password <pw>]
                 [--platform jitsi|livekit|google_meet|zoom] [--timeout-sec 90]
freestream leave --session-id <id>
freestream generate-avatar --output <path> [--prompt <text>]
freestream clone-voice --audio <file> --name <name> [--noise-reduction]
freestream probe                              # FREESTREAM addition: capability negotiation

Exit codes — preserved from Pika, one repurposed:

0 ok · 1 configuration (FREESTREAM addition) · 2 validation · 3 transport · 4 session · 5 timeout
6 capability shortfall (was Pika's funding). Stdout JSON carries capability + remediation instead of checkout_url.

join emits {"session_id", "platform", "status": "created"} immediately, then status-change lines, exactly like the Pika CLI — agents that parse that stream keep working.

Latency trade-off

~~2.5–4.5s perceived turn on CPU vs. Pika's ~1.5s hosted (~~1.2–2.0s with GPU). Mitigated by 600ms speculative dispatch, sentence-level pre-roll, and avatar motion starting ~150ms before audio. See docs/LATENCY.md.

Privacy

Face and voice clones never leave the device. Hosted clones (Pika/MiniMax) expire after 7 days of non-use; FREESTREAM clones are local files. Consent and disclosure defaults: docs/CONSENT.md.

Attribution & license

Apache-2.0. Clean-room reimplementation of the CLI contract of pikastream-video-meeting by Pika Labs — no source code ported; the interface (CLI flags, exit codes, output JSON, SKILL.md agent flow, life/ identity-file conventions) is preserved for agent compatibility. The hosted PikaStreaming service is replaced, not reimplemented.

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Total file size:

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Datasets:

LoveLogicAI
/

freestream