Datasets:
Initial release
Browse files- LICENSE +8 -0
- README.md +156 -3
- channels.json +49 -0
- croissant.json +142 -0
- data/shard-00000.tar +3 -0
- data/shard-00001.tar +3 -0
- data/shard-00002.tar +3 -0
- data/shard-00003.tar +3 -0
- data/shard-00004.tar +3 -0
- data/shard-00005.tar +3 -0
- data/shard-00006.tar +3 -0
- data/shard-00007.tar +3 -0
- data/shard-00008.tar +3 -0
- data/shard-00009.tar +3 -0
- data/shard-00010.tar +3 -0
- data/shard-00011.tar +3 -0
- data/shard-00012.tar +3 -0
- data/shard-00013.tar +3 -0
- data/shard-00014.tar +3 -0
- data/shard-00015.tar +3 -0
- data/shard-00016.tar +3 -0
- data/shard-00017.tar +3 -0
- data/shard-00018.tar +3 -0
- data/shard-00019.tar +3 -0
- data/shard-00020.tar +3 -0
- data/shard-00021.tar +3 -0
- data/shard-00022.tar +3 -0
- data/shard-00023.tar +3 -0
- data/shard-00024.tar +3 -0
- data/shard-00025.tar +3 -0
- data/shard-00026.tar +3 -0
- data/shard-00027.tar +3 -0
- data/shard-00028.tar +3 -0
- data/shard-00029.tar +3 -0
- data/shard-00030.tar +3 -0
- data/shard-00031.tar +3 -0
- data/shard-00032.tar +3 -0
- data/shard-00033.tar +3 -0
- data/shard-00034.tar +3 -0
- data/shard-00035.tar +3 -0
- data/shard-00036.tar +3 -0
- data/shard-00037.tar +3 -0
- data/shard-00038.tar +3 -0
- data/shard-00039.tar +3 -0
- data/shard-00040.tar +3 -0
- data/shard-00041.tar +3 -0
- data/shard-00042.tar +3 -0
- manifest.json +280 -0
- metadata.parquet +3 -0
LICENSE
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CC0 1.0 Universal
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The person who associated a work with this deed has dedicated the work to the
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public domain by waiving all of his or her rights to the work worldwide under
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copyright law, including all related and neighboring rights, to the extent
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allowed by law.
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Full text: https://creativecommons.org/publicdomain/zero/1.0/legalcode
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README.md
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-
---
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license: cc0-1.0
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-
--
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---
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license: cc0-1.0
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pretty_name: "CP-BG-Bench JUMP C (raw cell crop)"
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size_categories:
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- 100K<n<1M
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task_categories:
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- image-feature-extraction
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tags:
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- cell-painting
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- microscopy
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- representation-learning
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- single-cell
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- biology
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- jump-cp
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/shard-*.tar
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---
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# CP-BG-Bench: JUMP view C (raw cell crop)
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This dataset is one of four paired views of the same single-cell tiles from
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the JUMP-CP Cell Painting consortium, prepared for the CP-BG-Bench evaluation
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framework.
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The four views — C (raw crop), S (background-masked crop), CD (density-augmented),
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SD (background-masked + density-augmented) — are released as separate
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repositories. They are **row-aligned**: each `row_key` exists in all four
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views and refers to the same underlying cell. Each view ships the same
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schema (cell + mask + metadata); only the `cell.bin` content differs.
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This repository contains view **C**: raw cell crop.
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## Format
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WebDataset tar shards. Each cell occupies one sample with four files sharing a
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key:
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- `{key}.cell.bin` — raw uint8 bytes, shape `(5, 224, 224)`, channel-first.
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View-specific image content (raw / background-masked / density-augmented).
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- `{key}.mask.bin` — raw uint8 bytes, shape `(2, 224, 224)`, channel-first.
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Segmentation mask (`[nucleus, cell]`); identical across all four views.
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- `{key}.json` — per-cell metadata (see below).
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Note: the binary blobs are **raw bytes**, not PNG/NPY. Decode with:
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```python
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import numpy as np
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cell = np.frombuffer(cell_bytes, dtype=np.uint8).reshape((5, 224, 224))
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mask = np.frombuffer(mask_bytes, dtype=np.uint8).reshape((2, 224, 224))
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```
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## Channels
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The 5 channels are stored in this order:
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| index | label | stain |
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|---|---|---|
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| 0 | DNA | Hoechst 33342 |
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| 1 | AGP | Phalloidin + WGA |
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| 2 | ER | Concanavalin A |
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| 3 | Mito | MitoTracker Deep Red |
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| 4 | RNA | SYTO 14 |
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> **Note: this on-disk order is `[DNA, AGP, ER, Mito, RNA]`, which differs
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> from both the JUMP-CP v2 publication order `[DNA, ER, RNA, AGP, Mito]` and
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> the Recursion RxRx order `[DNA, ER, AGP, RNA, Mito, ...]`.** Code that
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> assumes a particular order without checking will feed the wrong stain to
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> downstream channel slots. A machine-readable `channels.json` is provided at
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> the repo root; please use it. The CP-BG-Bench framework resolves channels
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> by name and is robust to per-dataset reorderings.
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The 2 mask channels are stored in this order:
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| index | label | description |
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|---|---|---|
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| 0 | nucleus | binary nucleus segmentation mask |
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| 1 | cell | binary whole-cell segmentation mask |
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Masks are uint8 with values in `{0, 255}` (or another non-zero label).
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A machine-readable `channels.json` is provided at the repo root.
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## Metadata fields
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Each `.json` sidecar contains:
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| Field | Type | Description |
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|---|---|---|
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| `row_key` | str | Stable cell identifier (`source__date_run__plate__well__tile__id`) |
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| `source` | str | JUMP partner code (e.g. `source_4`) |
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| `batch` | str | Batch identifier (= `source` for JUMP-CP) |
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| `plate` | str | JUMP plate identifier |
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| `well` | str | Well coordinate (e.g. `B02`) |
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| `tile` | str | Site index within well |
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| `id_local` | int | Per-tile cell index |
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| `perturbation` | str | Compound InChIKey (= `Metadata_InChIKey`) |
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| `Metadata_InChIKey` | str | Public PubChem-derivable compound ID |
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| `Metadata_PlateType` | str | `TARGET2` or `COMPOUND` |
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| `nuc_area`, `cyto_area`, `nuc_cyto_ratio` | num | Single-cell QC features |
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| `n_cells_in_fov`, `n_cells_scaled` | num | Local density features |
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A flat `metadata.parquet` covering all rows (with `shard_index` and
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`key_in_shard` columns) is provided at the repo root for fast subsetting
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without scanning the tar shards.
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## Statistics
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- Total cells: 645,390
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- Shards: 43
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- Approximate shard size: ~5.3 GB
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- Plate types: COMPOUND: 445,968, TARGET2: 199,422
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- Sources (JUMP partners): 10
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- Plates: 900
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- Unique perturbations (InChIKeys): 1467
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## Splits
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A natural held-out batch is `source_4` (21,177 cells), used in the
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CP-BG-Bench cross-batch retrieval evaluation. Filter with:
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```python
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ds = ds.filter(lambda r: r["source"] == "source_4")
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```
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## Pairing across views
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The four CP-BG-Bench JUMP repos share `row_key` exactly. To use a paired
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dataloader, load all four and join on `row_key` (the `metadata.parquet` files
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make this cheap):
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- `<anon-org>/jump-c-target2` (this view: C)
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- `<anon-org>/jump-s-target2`
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- `<anon-org>/jump-cd-target2`
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- `<anon-org>/jump-sd-target2`
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## Shard ordering
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- Rows are written in the order they appear in the source HF Datasets
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directory. Shuffle at load time (PyTorch `DataLoader(shuffle=True)` or
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`webdataset.WebDataset(...).shuffle(N)`); shards are not pre-shuffled.
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- `(shard_index, key_in_shard)` for every row is in `metadata.parquet`.
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## License
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CC0 1.0 Universal. Underlying JUMP-CP data is released by the JUMP-Cell
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Painting consortium under CC0 1.0.
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## Citation
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Anonymous submission to NeurIPS 2026 Datasets & Benchmarks Track.
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For the underlying JUMP-CP data, please cite the JUMP-CP consortium release.
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channels.json
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{
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"view": "C",
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"view_description": "raw cell crop",
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"files": {
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"cell.bin": {
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"channels": [
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"DNA",
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"AGP",
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"ER",
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"Mito",
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"RNA"
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],
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"stains": {
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"DNA": "Hoechst 33342",
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"AGP": "Phalloidin + WGA",
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"ER": "Concanavalin A",
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"Mito": "MitoTracker Deep Red",
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"RNA": "SYTO 14"
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},
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"shape": [
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5,
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224,
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224
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],
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"dtype": "uint8",
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"layout": "channel-first (C, H, W)",
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"encoding": "raw bytes; np.frombuffer(blob, dtype=np.uint8).reshape(5, 224, 224)"
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},
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"mask.bin": {
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"channels": [
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"nucleus",
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"cell"
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],
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"shape": [
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2,
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224,
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224
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],
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"dtype": "uint8",
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"layout": "channel-first (C, H, W)",
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| 41 |
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"encoding": "raw bytes; np.frombuffer(blob, dtype=np.uint8).reshape(2, 224, 224)"
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}
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},
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"notes": [
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"On-disk channel order [DNA, AGP, ER, Mito, RNA] differs from the JUMP-CP v2 publication order [DNA, ER, RNA, AGP, Mito] and from the Recursion RxRx order [DNA, ER, AGP, RNA, Mito, ...].",
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"Loaders must remap by name, not by index, when combining JUMP with other Cell Painting datasets.",
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| 47 |
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"Mask channels are [nucleus, cell] \u2014 both binary uint8."
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]
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}
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croissant.json
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"@context": {
|
| 3 |
+
"@language": "en",
|
| 4 |
+
"@vocab": "https://schema.org/",
|
| 5 |
+
"cr": "http://mlcommons.org/croissant/",
|
| 6 |
+
"rai": "http://mlcommons.org/croissant/RAI/",
|
| 7 |
+
"data": {
|
| 8 |
+
"@id": "cr:data",
|
| 9 |
+
"@type": "@json"
|
| 10 |
+
},
|
| 11 |
+
"dct": "http://purl.org/dc/terms/",
|
| 12 |
+
"examples": {
|
| 13 |
+
"@id": "cr:examples",
|
| 14 |
+
"@type": "@json"
|
| 15 |
+
},
|
| 16 |
+
"extract": "cr:extract",
|
| 17 |
+
"field": "cr:field",
|
| 18 |
+
"fileObject": "cr:fileObject",
|
| 19 |
+
"fileSet": "cr:fileSet",
|
| 20 |
+
"format": "cr:format",
|
| 21 |
+
"includes": "cr:includes",
|
| 22 |
+
"isLiveDataset": "cr:isLiveDataset",
|
| 23 |
+
"jsonPath": "cr:jsonPath",
|
| 24 |
+
"key": "cr:key",
|
| 25 |
+
"md5": "cr:md5",
|
| 26 |
+
"parentField": "cr:parentField",
|
| 27 |
+
"path": "cr:path",
|
| 28 |
+
"recordSet": "cr:recordSet",
|
| 29 |
+
"references": "cr:references",
|
| 30 |
+
"regex": "cr:regex",
|
| 31 |
+
"repeated": "cr:repeated",
|
| 32 |
+
"replace": "cr:replace",
|
| 33 |
+
"sc": "https://schema.org/",
|
| 34 |
+
"separator": "cr:separator",
|
| 35 |
+
"source": "cr:source",
|
| 36 |
+
"subField": "cr:subField",
|
| 37 |
+
"transform": "cr:transform"
|
| 38 |
+
},
|
| 39 |
+
"@type": "sc:Dataset",
|
| 40 |
+
"name": "cp-bg-bench-jump-c",
|
| 41 |
+
"description": "CP-BG-Bench JUMP view C (raw cell crop). Single-cell Cell Painting tiles from the JUMP-CP consortium, released as one of four paired views (C, S, CD, SD) for the CP-BG-Bench evaluation framework.",
|
| 42 |
+
"conformsTo": "http://mlcommons.org/croissant/1.0",
|
| 43 |
+
"license": "https://creativecommons.org/publicdomain/zero/1.0/",
|
| 44 |
+
"url": "https://huggingface.co/datasets/anonymous/cp-bg-bench-jump",
|
| 45 |
+
"creator": {
|
| 46 |
+
"@type": "Organization",
|
| 47 |
+
"name": "anonymous"
|
| 48 |
+
},
|
| 49 |
+
"publisher": {
|
| 50 |
+
"@type": "Organization",
|
| 51 |
+
"name": "anonymous"
|
| 52 |
+
},
|
| 53 |
+
"citeAs": "Anonymous submission to NeurIPS 2026 Datasets & Benchmarks Track.",
|
| 54 |
+
"datePublished": "2026-05-05",
|
| 55 |
+
"version": "1.0.0",
|
| 56 |
+
"keywords": [
|
| 57 |
+
"Cell Painting",
|
| 58 |
+
"JUMP-CP",
|
| 59 |
+
"single-cell",
|
| 60 |
+
"microscopy",
|
| 61 |
+
"representation learning"
|
| 62 |
+
],
|
| 63 |
+
"rai:dataCollection": "Single-cell tiles were extracted from the JUMP-CP consortium image release (Chandrasekaran et al.). Cells were segmented at the FOV level, cropped at 150x150 px around the segmented centroid, and resized to 224x224. Per-FOV percentile normalisation was applied before quantisation to uint8.",
|
| 64 |
+
"rai:dataPreprocessingProtocol": "QC filters on (nuc_area, cyto_area, nuc_cyto_ratio) at percentiles [0.025, 0.975]. Per-(perturbation x experimental batch) cell cap of approximately 100 cells. Density-augmented views (CD, SD) encode per-cell local FOV density.",
|
| 65 |
+
"rai:dataUseCases": "Benchmarking representation learning models on single-cell morphology under perturbation; evaluating cell-vs-background contributions to learned representations.",
|
| 66 |
+
"rai:dataLimitations": "Cells from one cell line (U2OS), one assay (Cell Painting), one consortium (JUMP-CP). Channel order is the standard JUMP order and should be confirmed against the upstream pipeline before use. Quantisation to uint8 was applied during tile extraction.",
|
| 67 |
+
"rai:dataBiases": "Compound coverage follows the JUMP-CP Target2 + Compound plate design and is biased toward annotated chemical probes and drug-like molecules. Source (JUMP partner) is a known major covariate that should be controlled in evaluation.",
|
| 68 |
+
"rai:annotationsPerItem": "0",
|
| 69 |
+
"rai:personalSensitiveInformation": "None",
|
| 70 |
+
"distribution": [
|
| 71 |
+
{
|
| 72 |
+
"@type": "cr:FileSet",
|
| 73 |
+
"@id": "shards",
|
| 74 |
+
"name": "shards",
|
| 75 |
+
"description": "WebDataset tar shards.",
|
| 76 |
+
"containedIn": {
|
| 77 |
+
"@id": "https://huggingface.co/datasets/anonymous/cp-bg-bench-jump"
|
| 78 |
+
},
|
| 79 |
+
"encodingFormat": "application/x-tar",
|
| 80 |
+
"includes": "data/shard-*.tar"
|
| 81 |
+
}
|
| 82 |
+
],
|
| 83 |
+
"recordSet": [
|
| 84 |
+
{
|
| 85 |
+
"@type": "cr:RecordSet",
|
| 86 |
+
"@id": "cells",
|
| 87 |
+
"name": "cells",
|
| 88 |
+
"description": "One row per single-cell tile.",
|
| 89 |
+
"field": [
|
| 90 |
+
{
|
| 91 |
+
"@type": "cr:Field",
|
| 92 |
+
"@id": "cells/row_key",
|
| 93 |
+
"name": "row_key",
|
| 94 |
+
"dataType": "sc:Text",
|
| 95 |
+
"description": "Stable per-cell identifier."
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"@type": "cr:Field",
|
| 99 |
+
"@id": "cells/cell",
|
| 100 |
+
"name": "cell.bin",
|
| 101 |
+
"dataType": "sc:ImageObject",
|
| 102 |
+
"description": "Raw uint8 bytes, shape (5, 224, 224), channel-first. View-specific image content."
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"@type": "cr:Field",
|
| 106 |
+
"@id": "cells/mask",
|
| 107 |
+
"name": "mask.bin",
|
| 108 |
+
"dataType": "sc:ImageObject",
|
| 109 |
+
"description": "Raw uint8 bytes, shape (2, 224, 224), channel-first. Segmentation mask (nucleus, cell)."
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"@type": "cr:Field",
|
| 113 |
+
"@id": "cells/perturbation",
|
| 114 |
+
"name": "perturbation",
|
| 115 |
+
"dataType": "sc:Text",
|
| 116 |
+
"description": "Compound InChIKey."
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"@type": "cr:Field",
|
| 120 |
+
"@id": "cells/source",
|
| 121 |
+
"name": "source",
|
| 122 |
+
"dataType": "sc:Text",
|
| 123 |
+
"description": "JUMP partner identifier."
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"@type": "cr:Field",
|
| 127 |
+
"@id": "cells/plate",
|
| 128 |
+
"name": "plate",
|
| 129 |
+
"dataType": "sc:Text",
|
| 130 |
+
"description": "JUMP plate identifier."
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"@type": "cr:Field",
|
| 134 |
+
"@id": "cells/Metadata_PlateType",
|
| 135 |
+
"name": "Metadata_PlateType",
|
| 136 |
+
"dataType": "sc:Text",
|
| 137 |
+
"description": "TARGET2 or COMPOUND."
|
| 138 |
+
}
|
| 139 |
+
]
|
| 140 |
+
}
|
| 141 |
+
]
|
| 142 |
+
}
|
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|
metadata.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:3ffd4394edbf196ff35b1602c827284fc38c6355e24f7ca52e1b1328028e3909
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| 3 |
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size 12460446
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