| --- |
| license: other |
| language: |
| - en |
| task_categories: |
| - image-to-text |
| tags: |
| - astronomy |
| - multimodal |
| - spectra |
| - private-research-dataset |
| pretty_name: AstroPRISM image and spectrum caption pairs |
| configs: |
| - config_name: image_caption |
| data_files: |
| - split: train |
| path: data/image_caption/train.parquet |
| - split: validation |
| path: data/image_caption/validation.parquet |
| - split: test |
| path: data/image_caption/test.parquet |
| - config_name: spectrum_caption |
| data_files: |
| - split: train |
| path: data/spectrum_caption/train.parquet |
| - split: validation |
| path: data/spectrum_caption/validation.parquet |
| - split: test |
| path: data/spectrum_caption/test.parquet |
| --- |
| |
| # AstroPRISM |
|
|
| Private research staging data for aligning PRISM with astronomical images and spectra. The |
| package contains 646 object-level candidates with a fixed, |
| source-group-safe split (516 train / 65 |
| validation / 65 test). |
|
|
| ## Configs and training status |
|
|
| | Config | Splits | Rows | Training status | |
| |---|---|---:|---| |
| | `image_caption` | train, validation, test | 646 | Only train rows are allowed; captions are accepted weak supervision. | |
| | `spectrum_caption` | train, validation, test | 646 | All captions are accepted, reviewed, and dataset-ready; only train rows allow gradient training. | |
|
|
| Every spectrum-caption row has `caption_status=accepted`, `review_status=accepted`, |
| `reviewed=true`, and `dataset_ready=true`. Dataset readiness means the pair is approved for its |
| assigned split; it does not grant gradient-training permission. Only train rows have |
| `training_allowed=true`. Validation and test rows have `role=held_out_evaluation` and |
| `training_allowed=false` so they remain clean evaluation supervision. |
|
|
| The embedded `image` and `spectrum_plot` columns are inspection previews. Model inputs are the |
| calibrated arrays in `assets/raw/images/` and `assets/raw/spectra/`. Released AION embeddings, |
| download caches, and encoder weights are intentionally excluded. |
|
|
| ## Direct raw-array indexing |
|
|
| `candidate_index` and `raw_array_index` are identical. They index axis 0 of every monolithic |
| NumPy array. This remains true in all Parquet splits; indices are deliberately not renumbered. |
|
|
| ```python |
| from huggingface_hub import hf_hub_download |
| import numpy as np |
| |
| path = hf_hub_download( |
| repo_id="Sand33p/AstroPRISM", |
| repo_type="dataset", |
| filename="assets/raw/images/image_array.npy", |
| ) |
| images = np.load(path, mmap_mode="r") |
| image = images[row["candidate_index"]] # float32 [4, 160, 160] |
| ``` |
|
|
| Load pair metadata with an authenticated Hugging Face session: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| images = load_dataset("Sand33p/AstroPRISM", "image_caption") |
| spectra = load_dataset("Sand33p/AstroPRISM", "spectrum_caption") |
| ``` |
|
|
| See `metadata/candidates.jsonl` for the authoritative cross-modal identity and split mapping, |
| `provenance/SOURCES.json` for immutable upstream pins, `LICENSES.md` for source-specific terms, |
| and `SHA256SUMS` for integrity verification. |
|
|
| ## Important limitations |
|
|
| - Image descriptions are synthetic weak supervision and can contain unsupported interpretation. |
| - Spectrum captions were generated from deterministic measured facts and accepted by user instruction. |
| - Spectrum flux units were not retained explicitly in the extracted local arrays. |
| - Object-level source groups must stay in their assigned split across every derived task. |
| - Raw scientific data retain their original survey terms and required acknowledgements. |
|
|
