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---
license: mit
pretty_name: AstroCLIP Lightweight 30K
task_categories:
- feature-extraction
tags:
- astronomy
- multimodal
- image-spectrum
- astroclip
configs:
- config_name: default
data_files:
- split: train
path: data/train-*.parquet
- split: test
path: data/test-*.parquet
---
# AstroCLIP Lightweight 30K
This repository contains the deterministic 30,000-object subset used by the
lightweight AstroCLIP backbone experiments in `AstroCLIP-lightweight`.
## Dataset structure
The dataset contains two non-overlapping splits:
| Split | Rows |
|---|---:|
| `train` | 24,000 |
| `test` | 6,000 |
Each row contains exactly three fields:
- `image`: a `float32` array with shape `(152, 152, 3)`;
- `spectrum`: a `float32` array with shape `(7781, 1)`;
- `targetid`: an `int64` astronomical object identifier.
The dataset intentionally does not include a `redshift` field because this is
the exact input dataset used by the reported lightweight-model experiments.
## Construction
The source is the MIT-licensed
[`mhsotoudeh/astroclip`](https://huggingface.co/datasets/mhsotoudeh/astroclip)
dataset at source revision `9f36fcb2acc304c7b4fd73d452673d82ba9bf1fb`.
Rows were selected deterministically by hashing `seed:targetid` with BLAKE2b
(8-byte digest), retaining the lowest scores. The train split uses seed `42`
and the test split uses seed `43`. Source train and test partitions were kept
separate, and the resulting `targetid` sets do not overlap.
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("Corustella/AstroCLIP-lightweight")
print(dataset)
```
## Intended use and limitations
This subset is intended for reproducible training, retrieval evaluation, and
controlled efficiency comparisons of lightweight AstroCLIP variants. It is a
deterministic experimental subset, not a statistically representative sample
of all astronomical surveys or galaxy populations. Users requiring redshift
labels should obtain them from the appropriately licensed upstream source and
join them by `targetid`.
## Attribution
Please cite the upstream AstroCLIP work and dataset when using this subset:
- [AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models](https://arxiv.org/abs/2310.03024)
- [`mhsotoudeh/astroclip`](https://huggingface.co/datasets/mhsotoudeh/astroclip)
The upstream dataset is marked as MIT licensed. This derived subset is
published under the same license and retains source attribution.