The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Bad split: corpus. Available splits: ['train']
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 61, in get_rows
ds = load_dataset(
^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1705, in load_dataset
return builder_instance.as_streaming_dataset(split=split)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1196, in as_streaming_dataset
raise ValueError(f"Bad split: {split}. Available splits: {list(splits_generators)}")
ValueError: Bad split: corpus. Available splits: ['train']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.
Bluesky Alt Text: 279K Curated Image Descriptions
279,196 image alt-text pairs from 489 Bluesky accounts, collected via the public AT Protocol APIs. Every account validated at 90%+ alt-text rate with substantive descriptions. One row per image, not per post.
Includes a 125K-row firehose sample (14.5 hours of live network traffic) for contrastive analysis.
Overview
- Collection period: April 2026
- Total rows: 279,196 (corpus) + 125,645 (firehose) = 404,841
- Unique authors: 489 (corpus), 34,785 (firehose)
- Mean alt text length: 203 characters
- Median: 127 characters
- 60.5% of entries exceed 100 characters
- Languages: English (94%), German, French, Portuguese, Spanish, Japanese, 20+ others
- Collection method: AT Protocol
getAuthorFeed(corpus), Jetstream WebSocket (firehose)
Download
GitHub Release (recommended for bulk download):
corpus.jsonl.gz(89 MB)corpus.csv.gz(77 MB)firehose.jsonl.gz(49 MB)
Quick Start
import pandas as pd
corpus = pd.read_json("corpus.jsonl.gz", lines=True)
firehose = pd.read_json("firehose.jsonl.gz", lines=True)
print(f"Corpus: {len(corpus):,} rows, mean alt {corpus.alt_text.str.len().mean():.0f} chars")
print(f"Firehose: {len(firehose):,} rows, mean alt {firehose.alt_text.str.len().mean():.0f} chars")
See explore.ipynb for a walkthrough with visualizations.
Two Datasets
The targeted corpus and firehose sample are separate files with the same schema. Use them together or independently.
| Targeted corpus | Firehose sample | |
|---|---|---|
| File | corpus.jsonl.gz |
firehose.jsonl.gz |
| Rows | 279,196 | 125,645 |
| Source | getAuthorFeed from 495 validated accounts |
Jetstream live stream (14.5-hour window) |
| Alt text quality | High (accounts verified at 90%+ rate) | Mixed (reflects platform-wide behavior) |
| Use case | Training, benchmarking, style analysis | Adoption rates, contrastive training |
| Reproducibility | Deterministic from account list | Time-dependent snapshot |
Schema
Each row is one image with alt text. A post with 4 images produces 4 rows.
| Field | Type | Description |
|---|---|---|
alt_text |
string | Image description written by the author |
image_alt_length |
int | Character count of the alt text |
text |
string | Post body text |
author_handle |
string | Bluesky handle (e.g. tink.uk) |
author_did |
string | Decentralized identifier |
post_uri |
string | AT Protocol post URI |
post_cid |
string | Content identifier (hash) |
created_at |
string | Post creation time (ISO 8601) |
indexed_at |
string | Index time (ISO 8601) |
langs_json |
string | Language tags as JSON array |
image_index |
int | Position of this image in the post (0-based) |
image_count_in_post |
int | Total images in the post |
image_mime_type |
string | MIME type of the image blob |
image_ref |
string | AT Protocol blob reference |
image_thumb_url |
string | CDN thumbnail URL (AppView only) |
image_fullsize_url |
string | CDN full-size URL (AppView only) |
source_mode |
string | Collection mode (author_feed or jetstream) |
collected_at |
string | When this row was collected (ISO 8601) |
query |
string | Actor handle or search query used |
cursor |
string | Pagination cursor at collection time |
raw_record_json |
string | Complete AT Protocol record as JSON |
Account Selection
Not a random sample. 495 accounts found through eight strategies, then validated against the live API.
Discovery:
- Alt Text Hall of Fame honorees and social graph
- Accessibility keyword search ("alt text", "a11y", "WCAG", "screen reader")
- Network tracing from 8 accessibility seed accounts
- International search (German, French, Portuguese, Japanese, Spanish, Dutch, Swedish)
- Institutional search (museums, zoos, aquariums, space agencies)
- Photography and visual arts accounts
- Jetstream firehose sampling for wild-caught writers
Validation gate (every account probed against the live API):
- 90%+ of images have non-empty alt text
- Average alt text 50+ characters
- At least 10 images in sample
Full account list: collector/actors.txt
Known Quirks
- Firehose has no
image_thumb_urlorimage_fullsize_url. Jetstream delivers raw commit records without CDN URLs. These fields are null for firehose rows. langs_jsonis author-declared, not detected. Some posts have empty language tags.raw_record_jsoncan be large. Multi-image posts with long text produce records >10 KB. If you don't need provenance auditing, drop this column.- Quote-posts included. Posts with
app.bsky.embed.recordWithMedia(image + quote) are collected alongside standard image posts.
Use Cases
- Fine-tune vision-language models on quality human-written descriptions
- Benchmark generated alt text against real-world examples
- Study how people describe images for screen reader users
- Compare description styles across museums, photographers, scientists, advocates
- Contrastive training: pair corpus (high quality) with firehose (mixed quality)
Distribution
- GitHub: data-poems/bluesky-alt-text
- HuggingFace: lukeslp/bluesky-alt-text
Citation
@dataset{steuber2026blueskyalttext,
title = {Bluesky Alt Text Dataset},
author = {Steuber, Luke},
year = {2026},
publisher = {GitHub / HuggingFace},
url = {https://github.com/data-poems/bluesky-alt-text},
license = {CC-BY-4.0},
note = {279,196 image alt-text pairs from 489 validated Bluesky accounts}
}
Structured Data (JSON-LD)
{
"@context": "https://schema.org",
"@type": "Dataset",
"name": "Bluesky Alt Text Dataset",
"description": "279,196 image alt-text pairs from 489 validated Bluesky accounts, collected via AT Protocol APIs.",
"url": "https://github.com/data-poems/bluesky-alt-text",
"sameAs": [
"https://huggingface.co/datasets/lukeslp/bluesky-alt-text"
],
"license": "https://creativecommons.org/licenses/by/4.0/",
"creator": {
"@type": "Person",
"name": "Luke Steuber",
"url": "https://lukesteuber.com"
},
"keywords": ["alt text", "accessibility", "image description", "bluesky", "at protocol", "a11y", "screen reader"],
"temporalCoverage": "2023/2026",
"distribution": [
{
"@type": "DataDownload",
"encodingFormat": "application/x-ndjson",
"contentUrl": "https://github.com/data-poems/bluesky-alt-text/releases/latest"
}
]
}
Bluesky Ecosystem
More Bluesky tools by Luke Steuber:
- bsky-firehose-anonymized-dec-2025 -- 101K anonymized firehose posts
- bluedrop -- browser extension for DMs, Zen Mode, and dark mode
- skymarshal -- Python CLI for post and comment management
- skymarshal-js -- TypeScript/JS toolkit for AT Protocol
License
CC-BY 4.0. Use it for anything, just credit the source.
Collected from public Bluesky posts via documented AT Protocol APIs. No private data, no scraping, no authentication required.
Author
Luke Steuber
- Website: lukesteuber.com
- Bluesky: @lukesteuber.com
- Contact: luke@lukesteuber.com
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