Upload in progress. Complete configurations: oracle. Pending configurations: context_1min, context_3min, context_5min, context_10min. The table below describes the locally validated full release; only configurations present in the YAML are ready to load.

EventSTVG

EventSTVG evaluates event localization and the spatial grounding of semantic roles. This release contains the frozen SoccerSTVG component: 3,516 distinct target events from 50 soccer matches, with 17 semantic event types, 16 semantic roles, and 6,497 event–role instances. All five configurations contain the same 3,516 target event IDs, presented with different video context. They are evaluation configurations, not separate training/validation partitions.

Each VideoFolder record integrates its video, complete official prompt, and annotations. No join against an external prompts file is required. The source prompt text, GT answer objects, sample identifiers, and original metadata are preserved unchanged. Original spatial annotations are embedded for frame and pixel-coordinate traceability and compatibility with the frozen evaluator.

Configurations

Config	Split	Records	Input
soccerstvg_oracle	test	3,516	Temporally trimmed target event; spatial localization only
soccerstvg_context_1min	test	3,516	One-minute context
soccerstvg_context_3min	test	3,516	Three-minute context
soccerstvg_context_5min	test	3,516	Five-minute context
soccerstvg_context_10min	test	3,516	Ten-minute context

Long-context labels describe the benchmark settings; the exact annotated window duration is retained in metadata.window_duration. The five settings represent 3,516 unique target events, not 17,580 independent events. The source videos total approximately 1.31 TB across the five settings; streaming avoids downloading the entire collection before inspecting records.

Load

The local VideoFolder integration was validated with Python 3.10, Datasets 3.6.0, PyArrow 20.0.0, PyTorch 2.4.1, Torchvision 0.19.1 and PyAV 12.3.0, including native video decoding and streaming for every configuration. Remote loading and viewer results are checked separately after upload.

Install Hugging Face Datasets and a compatible video decoding backend, following the official video installation instructions. For a private repository, authenticate using an account with access (hf auth login).

from datasets import load_dataset

ds = load_dataset(
    "zacharyz21/EventSTVG",
    "soccerstvg_context_1min",
    split="test",
    streaming=True,
    token=True,
)
record = next(iter(ds))
video = record["video"]
prompt = record["prompt"]
ground_truth = record["answer"]

To inspect metadata without decoding video, use the genuine Video feature with decoding disabled. This preserves the video association rather than treating a path string as a video column:

from datasets import Video

ds = ds.cast_column("video", Video(decode=False))
record = next(iter(ds))
print(record["sample_id"], record["video"]["path"])
print(record["prompt"])

For local loading after downloading a configuration:

from datasets import load_dataset

ds = load_dataset(
    "videofolder",
    data_files={"test": [
        "EventSTVG/soccerstvg/videos/oracle/**/*.mp4",
        "EventSTVG/soccerstvg/videos/oracle/metadata.jsonl",
    ]},
    drop_labels=True,
    split="test",
)

Download selected files

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="zacharyz21/EventSTVG",
    repo_type="dataset",
    token=True,
    local_dir="EventSTVG",
    allow_patterns=[
        "README.md",
        "soccerstvg/README.md",
        "soccerstvg/task_spec.json",
        "soccerstvg/videos/oracle/**",
        "evaluation/**",
    ],
)

Replace oracle in the allowed path with the desired context setting to download its videos and integrated metadata. Do not download all configurations unless needed.

Record fields

Field	Meaning
sample_id	Original stable event identifier, shared across settings
file_name	In metadata.jsonl, video path relative to that file's directory; VideoFolder turns this association into video
video	Hugging Face Video feature produced by VideoFolder
prompt	Complete, unchanged official model-input prompt
event_type	Original final semantic event type, also retained in metadata
active_roles	Original requested role list, also retained in metadata
answer	Frozen evaluation GT: Oracle localization array, or context object containing temporal_window and role_localization
metadata	Entire original metadata object: event and role definitions by ID, context setting, source identifiers, crop/window timing, ordering, versions and hashes
spatial_annotation	Entire original spatial annotation: original dimensions, FPS, zero-based keyframe indices, per-role pixel boxes and original tracking records

The prompt and video are model inputs. answer, spatial_annotation, and target/source timing in metadata are ground truth or provenance and must not be included in a model request. The source metadata contains original local paths for provenance; use video or the relative file_name to access released videos.

Hugging Face/Arrow represents heterogeneous role dictionaries as a common struct schema and may show additional null fields for roles not requested by a record. Use active_roles as the authoritative requested-role list. The distributed JSONL preserves exactly the original role keys; absent roles are not new labels.

Time, frames, boxes, and visibility

• All answer times are in seconds from the beginning of the input video, not the on-screen soccer match clock. Oracle time starts at the event clip origin.
• Context answer.temporal_window gives target start/end within its input video; role_localization[].time_sec uses that same input-video origin.
• GT support is the explicitly stored nominal 2 Hz sequence: every 0.5 seconds starting at the target start. Do not generate missing terminal samples or interpolate boxes. Oracle supports exactly the timestamp list in its prompt/GT.
• Answer boxes are [xmin, ymin, xmax, ymax], normalized to [0,1000], with the origin at the top-left. X coordinates are scaled by video width and Y by height.
• An explicit role null retains the original benchmark meaning of no reliable localization at that timestamp. It is distinct from missing/invalid prediction fields. A role refers to the same individual throughout the target event.
• metadata.window_start and window_end are source-half-video seconds. target_start_in_window and target_end_in_window are input-video seconds. source_half_video, game, half, sn_anchor_time_abs, and the original occurrence identifiers are preserved in the same record; no separate source manifest is required.
• Embedded original spatial frame_index is zero-based in the original event clip. Keyframes use round_half_up(fps_original * 0.5 * k). At 25 FPS this is 0,13,25,38,...; the original actual frame timestamp can be 0.52 where the answer uses nominal 0.5. Original spatial boxes use original-video pixels, with width/height retained in spatial_annotation.

The unchanged official prompt specification and explicit release conventions are in soccerstvg/task_spec.json.

Evaluation

The existing frozen role_stvg_eval_v1.0 evaluator and parser are included in evaluation/, with their original source modules and policy. The release includes an export utility to reconstruct the evaluator's expected GT layout from integrated metadata; it does not regenerate any labels or prompts. See evaluation/README.md for commands and prediction format.

Files and video integration

Each setting is a VideoFolder with one metadata.jsonl and videos organized by the original sample path. The root YAML configuration includes both MP4 files and metadata, with directory-derived classification labels disabled. This is the official VideoFolder metadata convention, not a JSON-only annotation table. See also the Datasets VideoFolder guide and Hub configuration guide. The JSONL is retained as the release source; any Hub-generated viewer cache is managed by Hugging Face. Viewer availability can depend on processing status and the account's access to private-dataset preview features.

License and source

The existing repository license field is retained as CC BY-NC 4.0. No new commercial-use permission is granted. The soccer videos originate from SoccerNet match footage; this release does not claim ownership of the upstream footage or replace its applicable access conditions and rights. See the SoccerNet source website for upstream dataset access. Original event identifiers, game/half identifiers, crop timing, and annotations remain traceable in each record.