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/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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.
Pexels-Pairs-Text-Near-Counterfactuals (review sample)
Near-counterfactual scene pairs in WebDataset format, with vision-language model annotations describing the change between the two frames. Each pair is two frames from the same video that are visually close but differ in a localized way.
This repository is a small sample released for anonymous peer review. It contains
5 shards drawn from 5 different set_* directories of the full collection, which holds
roughly 101 shards in each of 96 sets. Contents are unmodified; only the number of shards
is reduced. The 5 shards total 11 scene pairs.
Layout
set_0/task0002-shard-000000.tar
set_19/task0006-shard-000000.tar
set_38/task0007-shard-000000.tar
set_57/task0012-shard-000000.tar
set_76/task0028-shard-000000.tar
Standard WebDataset tars. Files sharing a stem such as
VAE3AtekyZY-2160_mp4_1_0 form one sample.
Per-sample keys
| key | description |
|---|---|
first_scene.jpg, second_scene.jpg |
the two full frames of the pair |
first_scene_consistent_crop.jpg, second_scene_consistent_crop.jpg |
both frames cropped to a shared region |
first_cutout_view.png, second_cutout_view.png |
isolated object cutouts (absent when no cutout was produced) |
first_bounding_box.json, second_bounding_box.json |
object boxes as [x, y, w, h] |
consistent_crop_bounding_box.json |
the shared crop box applied to both frames |
scenes_width_height.json |
source frame dimensions |
iou_of_masks.json |
intersection over union between the two object masks |
lpips_patchwise_similarity_cutouts.json |
patchwise LPIPS distance between the cutouts |
similarity_of_frames.json |
frame level similarity score |
ssim_of_frames.json |
structural similarity between the frames |
video_id.txt |
identifier of the source video |
vlm_change_caption.qwen3_5_27b.txt |
natural language description of the change, Qwen3.5-27B |
vlm_change_caption.internvl3_5_30b_a3b_hf.txt |
natural language description of the change, InternVL3.5-30B-A3B |
vlm_entity_name.qwen3_5_27b.txt |
name of the changed entity, Qwen3.5-27B |
vlm_entity_name.internvl3_5_30b_a3b_hf.txt |
name of the changed entity, InternVL3.5-30B-A3B |
vlm_prompt_logprob.qwen3_5_27b.json |
prompt log probability, Qwen3.5-27B |
vlm_prompt_logprob.internvl3_5_30b_a3b_hf.json |
prompt log probability, InternVL3.5-30B-A3B |
Usage
import webdataset as wds
from huggingface_hub import hf_hub_download
p = hf_hub_download(
"anonymousML123/Pexels-Pairs-Text-Near-Counterfactuals",
"set_0/task0002-shard-000000.tar",
repo_type="dataset",
)
for sample in wds.WebDataset(p).decode():
print(sample["__key__"], sample["vlm_change_caption.qwen3_5_27b.txt"])
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