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@@ -25,37 +25,61 @@ ParaVT is a multi-agent agentic framework for long-video understanding, post-tra
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  ## Layout
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- Files are grouped by sentinel bucket (matching the path scheme used by [`paravt.data.sanitize`](https://github.com/mwxely/ParaVT/blob/paravt-release/paravt/data/sanitize.py)). Each bucket's archives extract directly into a directory tree that the [`paravt.data.materialize`](https://github.com/mwxely/ParaVT/blob/paravt-release/paravt/data/materialize.py) helper can re-attach to absolute paths in a single call.
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  | Bucket | Contents | Archive convention |
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  |---|---|---|
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  | `longvt_source/<src>/` | LongVT shared training clips (`videor1_*`, `longvideoreason_*`, `geminicot_*`, `tvg_*`, `selftrace_*`) | `<src>_<idx>.zip`, mirroring the [`longvideotool/LongVT-Source`](https://huggingface.co/datasets/longvideotool/LongVT-Source) naming |
 
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  | `museg/charades/` | Charades-STA clips used by the `charades` SFT split and the `charades_tvg` RL split | `charades_<idx>.zip` |
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  | `museg/et_instruct_164k/` | MuSeG `et_instruct_164k` clips used by the `museg` SFT split | `et_instruct_<idx>.zip` |
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  | `selfqa/` | Self-curated open-ended QA clips (HACS- and Ego4D-derived UUIDs / YouTube IDs) used by the `hacs` and `ego4d_naq` RL splits | `selfqa.zip` (single archive, ~6 GB) |
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- Each archive is sized to stay below 10 GB on disk so that LFS pointer + Cloudflare CDN serving stays well-behaved.
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  ## Usage
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  ```bash
 
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  huggingface-cli download ParaVT/ParaVT-Source --repo-type dataset --local-dir ./paravt-source
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- # Selective: pull only the buckets you need (e.g. charades grounding only)
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- huggingface-cli download ParaVT/ParaVT-Source \
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- --repo-type dataset --local-dir ./paravt-source \
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- --include "museg/charades/*"
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-
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- # Extract zips in place
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- ( cd ./paravt-source && for z in */*.zip; do unzip -q -d "$(dirname "$z")" "$z"; done )
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- # Re-link absolute paths inside the parquets (one shot; see ParaVT/ParaVT-Parquet)
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  python -m paravt.data.materialize \
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  --root ./paravt-source \
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  --parquet-dir ./paravt-parquet \
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  --output-dir ./paravt-parquet-materialized
 
 
 
 
 
 
 
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  ```
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  ## Citation
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  ```bibtex
 
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  ## Layout
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+ Files are grouped by sentinel bucket (matching the path scheme used by [`paravt.data.sanitize`](https://github.com/mwxely/ParaVT/blob/paravt-release/paravt/data/sanitize.py)). Each archive's members are stored under their full sentinel-form path, so extracting every zip into a single root produces a unified tree that [`paravt.data.materialize`](https://github.com/mwxely/ParaVT/blob/paravt-release/paravt/data/materialize.py) can re-link in one call.
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  | Bucket | Contents | Archive convention |
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  |---|---|---|
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  | `longvt_source/<src>/` | LongVT shared training clips (`videor1_*`, `longvideoreason_*`, `geminicot_*`, `tvg_*`, `selftrace_*`) | `<src>_<idx>.zip`, mirroring the [`longvideotool/LongVT-Source`](https://huggingface.co/datasets/longvideotool/LongVT-Source) naming |
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+ | `longvt_source/videor1_<N>/...` *(images)* | Auxiliary image files (`.png` / `.jpg`) referenced by the multi-modal interleaved rows in `paravt_sft_videor1_50k.parquet` | `videor1_<N>_images.zip` (one per `videor1_<N>` bucket) |
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  | `museg/charades/` | Charades-STA clips used by the `charades` SFT split and the `charades_tvg` RL split | `charades_<idx>.zip` |
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  | `museg/et_instruct_164k/` | MuSeG `et_instruct_164k` clips used by the `museg` SFT split | `et_instruct_<idx>.zip` |
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  | `selfqa/` | Self-curated open-ended QA clips (HACS- and Ego4D-derived UUIDs / YouTube IDs) used by the `hacs` and `ego4d_naq` RL splits | `selfqa.zip` (single archive, ~6 GB) |
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+ Each archive is sized to stay below 10 GB on disk so that LFS pointer + Cloudflare CDN serving stays well-behaved. The `<src>_<idx>.zip` and `videor1_<N>_images.zip` archives that share a `videor1_<N>` prefix unzip into disjoint subdirectories of the same `videor1_<N>/` tree (videos under `CLEVRER/`, `LLaVA-Video-178K/`, … and images under `Chart/`, `Math/`, `Knowledge/`, `OCR/`, …), so they don't overwrite each other.
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  ## Usage
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  ```bash
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+ # 1. Download every archive (use --include for a subset; see below).
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  huggingface-cli download ParaVT/ParaVT-Source --repo-type dataset --local-dir ./paravt-source
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+ # 2. Extract every zip into the same root. Each zip's arcname carries the
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+ # full sentinel path (e.g. "longvt_source/videor1_7/Math/...png"), so the
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+ # extraction target must be the top-level root, NOT the per-zip directory.
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+ ( cd ./paravt-source && find . -name "*.zip" -exec unzip -q -o -d . {} \; )
 
 
 
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+ # 3. Re-link absolute paths inside the parquets (one shot; see ParaVT/ParaVT-Parquet).
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  python -m paravt.data.materialize \
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  --root ./paravt-source \
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  --parquet-dir ./paravt-parquet \
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  --output-dir ./paravt-parquet-materialized
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+
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+ # Selective: pull only the buckets you need (e.g. Charades grounding only).
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+ # Materialize will warn on missing files but produce valid output for the
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+ # subset that is present.
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+ huggingface-cli download ParaVT/ParaVT-Source \
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+ --repo-type dataset --local-dir ./paravt-source \
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+ --include "museg/charades.zip"
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  ```
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+ After step 2 the directory tree under `./paravt-source/` looks like:
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+
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+ ```
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+ paravt-source/
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+ ├── longvt_source/
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+ │ ├── videor1_<N>/ # mp4 from videor1_<N>.zip + png/jpg from videor1_<N>_images.zip
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+ │ │ ├── CLEVRER/, LLaVA-Video-178K/, NeXT-QA/, ... # videos
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+ │ │ └── Chart/, Math/, Knowledge/, OCR/, ... # images
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+ │ ├── longvideoreason_<N>/ # from longvideoreason_<N>_part{1,2}.zip
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+ │ ├── geminicot_<N>/, tvg_<N>/, selftrace_<N>/, ...
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+ ├── museg/
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+ │ ├── charades/ # mp4 from museg/charades.zip
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+ │ └── et_instruct_164k/ # mp4 from museg/et_instruct.zip
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+ └── selfqa/ # mp4 from selfqa/selfqa.zip
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+ ```
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+
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+ The materialized parquets then point at `file://<absolute-path-to-paravt-source>/<sentinel-path>` for every row.
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+
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  ## Citation
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  ```bibtex