You need to agree to share your contact information to access this dataset
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
This dataset contains posts flagged for graphic and intolerant content. By accessing it, you agree to use it solely for non-commercial research purposes and to not conduct experiments that cause harm to human subjects.
Log in or Sign Up to review the conditions and access this dataset content.
bskymoddata — Bluesky Labelled Posts
A sample of Bluesky posts carrying platform-applied content labels, with associated media files.
⚠️ Content Warning: This dataset contains posts flagged for graphic media (gore, violence, disturbing imagery) and intolerant (hate speech, discrimination) content. Post text, images, and videos may be graphic or offensive. Strictly for non-commercial research. Do not use to target, harass, or re-identify individuals.
Splits
| Split | Label | Posts | With images | With video |
|---|---|---|---|---|
graphic_media |
graphic-media | 20,000 | 15,137 | 4,863 |
intolerant |
intolerant | 20,000 | 2,597 | 102 |
Sampled with random.seed(42) from 93,313 graphic-media and 35,899 intolerant valid posts.
Data Structure
data/
graphic_media/records.jsonl
intolerant/records.jsonl
media/
graphic_media/
images/<xx>/ ← JPEG; <xx> = last 2 chars of CID
videos/<xx>/ ← MP4
intolerant/
images/<xx>/
videos/<xx>/
Schema
Each line in records.jsonl is a JSON object:
| Field | Type | Description |
|---|---|---|
cid |
string | AT-Protocol content ID |
uri |
string | AT-Protocol URI (at://did:.../app.bsky.feed.post/...) |
label |
string | graphic-media or intolerant |
neg |
string | Negation flag; empty string when label is asserted |
cts |
string | Label timestamp (when was post labeled) |
record |
object | Full AT-Protocol post record (see below) |
etype |
string | Embed type: images, video, external, or "" |
text |
string | Post text |
images |
array | Image objects; empty array if none |
video |
string|null | HF path to video, or null |
skip |
bool | Always false (pre-filtered) |
failures |
array | Always [] (pre-filtered) |
record fields
| Field | Description |
|---|---|
record.text |
Post text |
record.createdAt |
Post creation timestamp (ISO 8601) |
record.langs |
BCP-47 language list (may be absent) |
record.embed |
Embed object — images / video / external link (may be absent) |
record.facets |
Rich-text facets — links, mentions, tags (may be absent) |
record.reply |
Present when post is a reply; absent otherwise (~22% graphic-media, ~76% intolerant) |
images element
| Field | Description |
|---|---|
file |
data/media/{label}/images/{xx}/{filename} |
alt |
Alt-text (may be empty) |
Downloading
from huggingface_hub import snapshot_download, hf_hub_download
| Goal | allow_patterns |
|---|---|
| Everything | (omit) |
| Records only | ["data/*/records.jsonl"] |
| One label | ["data/graphic_media/**", "data/media/graphic_media/**"] |
| Images only | ["data/*/records.jsonl", "data/media/*/images/**"] |
# Example: records only
snapshot_download(
repo_id = "usermodsky/bskymoddata",
repo_type = "dataset",
local_dir = "./bskymoddata",
allow_patterns = ["data/*/records.jsonl"], # omit for full download
)
⚠️ Full download includes all graphic media. Estimated size: >50 GB.
Single file:
local_path = hf_hub_download(
repo_id = "usermodsky/bskymoddata",
repo_type = "dataset",
filename = "data/media/graphic_media/images/hy/bafkrei...hy.jpeg",
)
# ⚠️ Open only in a controlled review environment — content may be graphic.
print(f"Saved to: {local_path}")
Usage
from datasets import load_dataset
ds = load_dataset("usermodsky/bskymoddata", "graphic_media", split="train")
# or: "intolerant"
import pandas as pd
df = pd.read_json("hf://datasets/usermodsky/bskymoddata/data/graphic_media/records.jsonl", lines=True)
Filter subsets:
# Posts with images
with_images = ds.filter(lambda x: len(x["images"]) > 0)
# Text-only posts
text_only = ds.filter(lambda x: len(x["images"]) == 0 and x["video"] is None)
# Reply posts only
replies = ds.filter(lambda x: x["record"].get("reply") is not None)
# English posts
en = ds.filter(lambda x: "en" in (x["record"].get("langs") or []))
License
CC BY-NC 4.0 — non-commercial research use only.
- Downloads last month
- 57