The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: StopIteration
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
StopIterationNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
OpenAlex Dataset
A complete mirror of the OpenAlex scholarly knowledge graph, plus a pre-built graph index and tile repository for client-side visualization.
Subsets
Snapshot Records (full OpenAlex data)
| Config | Split | Records | Description |
|---|---|---|---|
complete |
records |
~583M | All entity types combined |
works (default) |
records |
~449M | Scholarly works — papers, articles, books, datasets |
authors |
records |
~108M | Author profiles with affiliations and metrics |
institutions |
records |
~103K | Universities, research institutes, hospitals |
sources |
records |
~255K | Journals, repositories, conferences |
topics |
records |
~4.5K | Research topics (auto-classified) |
subfields |
records |
252 | Academic subfields |
fields |
records |
26 | Academic fields |
domains |
records |
4 | Top-level domains |
concepts |
records |
~65K | Subject concepts (legacy, replaced by topics) |
funders |
records |
~32K | Funding organizations |
publishers |
records |
~11K | Publishing companies |
Each record is the full OpenAlex JSON matching the REST API schema. Fields vary by entity type — see OpenAlex docs for details.
Source files: gzip-compressed JSON Lines from the OpenAlex S3 snapshot (January 2026), date-partitioned under snapshot/<entity>/YYYY-MM-DD/.
Graph Index (compact IDs)
| Config | Split | Records | Schema | Description |
|---|---|---|---|---|
index |
works |
~449M | {id, n} |
Compact integer ID + title |
authors |
~108M | {id, n} |
Compact integer ID + name | |
institutions |
~103K | {id, n} |
Compact integer ID + name | |
sources |
~255K | {id, n} |
Compact integer ID + name | |
topics |
~4.5K | {id, n} |
Compact integer ID + name | |
subfields |
252 | {id, n} |
Compact integer ID + name | |
fields |
26 | {id, n} |
Compact integer ID + name | |
domains |
4 | {id, n} |
Compact integer ID + name | |
concepts |
~65K | {id, n} |
Compact integer ID + name | |
funders |
~32K | {id, n} |
Compact integer ID + name | |
publishers |
~11K | {id, n} |
Compact integer ID + name |
Pipeline-generated compact IDs (0-indexed integers) mapped from OpenAlex IDs. Used internally by the graph visualization and tile system.
Utility Configs
| Config | Split | Schema | Description |
|---|---|---|---|
search |
records |
{w, ids} |
Inverted word index — maps lowercased tokens to compact entity IDs |
names |
records |
{id, name} |
Display names keyed by compact ID, sharded for tile serving |
Quick Start
from datasets import load_dataset
# Load full OpenAlex works records
works = load_dataset("Mearman/OpenAlex", "works", split="records")
# Stream the complete dataset (all entity types, ~434 GB compressed)
ds = load_dataset("Mearman/OpenAlex", "complete", split="records", streaming=True)
# Load a single small entity type
topics = load_dataset("Mearman/OpenAlex", "topics", split="records")
# Load the compact graph index for authors
authors_index = load_dataset("Mearman/OpenAlex", "index", split="authors")
# Search index
search = load_dataset("Mearman/OpenAlex", "search", split="records")
Download specific directories
from huggingface_hub import snapshot_download
# Download just the raw snapshot for one entity type
snapshot_download(
"Mearman/OpenAlex",
repo_type="dataset",
allow_patterns="snapshot/topics/**",
local_dir="./openalex",
)
# Download tiles for 2D visualization
snapshot_download(
"Mearman/OpenAlex",
repo_type="dataset",
allow_patterns=["tiles/manifest.json", "tiles/nodes/*", "tiles/coords/2d/*", "tiles/spatial/2d/*"],
local_dir="./openalex",
)
About OpenAlex
OpenAlex is a free, open catalogue of the global research system — scholarly works, authors, institutions, journals, and the connections between them. It is maintained by OurResearch and available under a CC0 public domain license.
The snapshot/ directory in this repository is a mirror of the OpenAlex S3 snapshot (AWS Open Data Registry). The upstream snapshot is updated approximately monthly.
Citation
If you use this data, please cite OpenAlex:
Priem, J., Piwowar, H., & Orr, R. (2022). OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts. ArXiv. https://arxiv.org/abs/2205.01833
See also: OpenAlex documentation · API · GitHub
Repository Structure
snapshot/ # Raw OpenAlex snapshot (gzipped JSONL, date-partitioned)
├── works/ # ~449M scholarly works (~750 GB compressed)
│ └── YYYY-MM-DD/part_NNNN.jsonl.gz
├── authors/ # ~108M author profiles (~64 GB compressed)
├── institutions/ # 103K institutions
├── sources/ # 255K journals/repositories
├── concepts/ # 65K subject concepts
├── topics/ # 4.5K topics
├── funders/ # 32K funders
├── publishers/ # 11K publishers
├── domains/ # 4 top-level domains
├── fields/ # 26 fields
└── subfields/ # 252 subfields
index/
├── entities/ # Small entity types (JSONL.gz: {id, n})
├── mappings/ # Binary ID mappings (OpenAlex ID → compact ID)
├── authors/ # Author index (104 shards, JSONL.gz)
├── works/ # Work index (1,098 shards, JSONL.gz)
├── edges/ # Citation + collaboration edges (adjacency lists)
├── adj/ # Compressed adjacency shards
└── search/ # Inverted word index for entity search
layout/
├── coords-2d.bin # 2D force-directed layout coordinates
├── coords-3d.bin # 3D force-directed layout coordinates
├── layout-2d.json # Layout metadata
├── layout-3d.json
└── density-2d.png # 4K density visualization
tiles/
├── manifest.json
├── lod/{dim}d/ # Level-of-detail with embedded coordinates
├── nodes/ # Entity metadata by compact ID range
├── coords/{dim}d/ # Position data by compact ID range
├── spatial/{dim}d/ # Spatial index (Z-order curve tiles)
├── edges/ # Edge tiles by source compact ID range
├── lookup/ # Compact ID ↔ OpenAlex ID mapping
├── names/ # Display name shards
├── search/ # Symlinked from index/search
└── adj/ # Symlinked from index/adj
Pipeline
Built using the OpenAlex Pipeline on Supercomputing Wales (Falcon cluster, 192-core AMD Genoa nodes) as part of PhD research at Bangor University:
- Download — S3 snapshot sync via rclone
- Extract — isal-accelerated gzip decompression
- Index — Parallel entity indexing, ID mapping, edge extraction, search index
- Layout — Multi-level coarsening + Barnes-Hut force-directed simulation (2D & 3D)
- Tiles — Dimension-agnostic spatial tiling for progressive client-side loading
License
The underlying OpenAlex data is CC0 (public domain). This processed derivative is released under the same license.
Status
🚧 In progress — Raw snapshot and index uploaded. Layout and tiles will be added as pipeline jobs complete.
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