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Add files using upload-large-folder tool

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - image-to-text
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+ size_categories:
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+ - 1M<n<10M
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+ pretty_name: BLIP3o Recap 1M
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+ ---
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+
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+ # BLIP3o-Recap
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+
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+ 1,000,000 image–caption pairs sampled from [BLIP3o/BLIP3o-Pretrain-Long-Caption](https://huggingface.co/datasets/BLIP3o/BLIP3o-Pretrain-Long-Caption) at revision `e4d07091a466d1a1e35a9b0c61caddc78d14a059`.
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+
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+ The source dataset has about 27.2 million images, each with a long caption (about 120 tokens) produced by Qwen2.5-VL-7B-Instruct. This repo is a fixed 1,000,000-pair subset of those existing pairs. Captions were not regenerated.
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+
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+ ## Sampling
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+
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+ Shards were taken at even intervals from each of the three webdataset groups, so the subset is spread across the corpus.
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+
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+ | Group | Shards kept | Pairs |
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+ | --- | ---: | ---: |
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+ | `sa_*.tar` | 36 | 402,626 |
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+ | `webdataset_shard_*.tar` | 52 | 498,922 |
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+ | `webdataset_JDB_*.tar` | 10 | 98,452 |
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+ | **Total** | **98** | **1,000,000** |
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+
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+ `webdataset_JDB_270_part.tar` contains the first 8,469 pairs from source shard `webdataset_JDB_270.tar`. Every other shard is an unchanged copy of the source file. Per-shard counts are in `subset_manifest.json`.
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+
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+ ## Format
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+
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+ Each shard is a WebDataset tar. An example is two files that share a key:
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+
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+ - `<key>.jpg`
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+ - `<key>.txt` (the long caption)
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+
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+ ## Load
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset(
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+ "webdataset",
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+ data_files="https://huggingface.co/datasets/IntelligenceLab/BLIP3o-Recap/resolve/main/*.tar",
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+ split="train",
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+ )
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+ ```
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+
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+ For local files:
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+
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+ ```python
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+ import glob
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("webdataset", data_files=glob.glob("/path/to/shards/*.tar"), split="train")
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+ ```
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+
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+ ## License
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+
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+ Apache-2.0, same as the source dataset.
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