---
license: cc-by-nc-4.0
viewer: false
pretty_name: bskymoddata — Bluesky Moderation Data
tags:
  - content-moderation
  - bluesky
  - social-media
  - harm-detection
  - graphic-media
  - intolerant
configs:
  - config_name: graphic_media
    data_files:
      - split: train
        path: data/graphic_media/records.jsonl
  - config_name: intolerant
    data_files:
      - split: train
        path: data/intolerant/records.jsonl

extra_gated_prompt: "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."
extra_gated_fields:
  Name: text
  Affiliation: text
  I want to use this dataset for:
    type: select
    options:
      - Research
      - Education
      - label: Other
        value: other
  I agree to use this dataset for non-commercial use ONLY: checkbox
  I agree not to conduct experiments that cause harm to human subjects: checkbox

---

# 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

```python
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/**"]` |

```python
# 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:

```python
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

```python
from datasets import load_dataset

ds = load_dataset("usermodsky/bskymoddata", "graphic_media", split="train")
# or: "intolerant"
```

```python
import pandas as pd
df = pd.read_json("hf://datasets/usermodsky/bskymoddata/data/graphic_media/records.jsonl", lines=True)
```

Filter subsets:

```python
# 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.