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Clarify hosted scope and highlight starter in dataset card

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  1. README.md +7 -3
README.md CHANGED
@@ -39,7 +39,7 @@ Train and test are split by scene, and nested tiers from 200 to 100,000 scenes l
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  the number of environments separately from the data in each.
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  **Get data:** [Choose a subset and get download commands](https://cbchae.yonsei.ac.kr/channels4world/download.html) ([Space](https://huggingface.co/spaces/Intelligence-Networking-Lab/channels4world-download)) ·
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- [Try one scene](#download)
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  ![Example scenes across the urban, metropolitan and suburban profiles](docs/scenes.png)
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@@ -52,6 +52,8 @@ the number of environments separately from the data in each.
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  | Detail (interactions) | The 10,000 Medium-tier scenes, both carriers |
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  | Total | About **20.8 TB**: the Full tier, the loose Tiny copy and metadata |
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  Start with plain NumPy, use the `channels4world` library to select larger subsets, or
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  read the TAR archives with 🤗 Datasets. Numeric records are standard NPZ files;
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  geometry is ZIP. Every example follows one link: BS 0 and UE 14 of `urban_scene_019234`
@@ -185,6 +187,8 @@ split 50% urban, 25% metropolitan and 25% suburban.
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  add under 0.2%. Tiny is published as loose files (65.7 GB with its metadata), and its
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  scenes are also part of Small.*
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  Tiers choose scenes; components and carriers are chosen separately. Tiny needs no unpacking.
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  ## Download
@@ -196,8 +200,8 @@ Each example below leaves files under `c4w/`. Commands use the release tag `v1.0
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  The [download helper](https://cbchae.yonsei.ac.kr/channels4world/download.html) (also a [Space](https://huggingface.co/spaces/Intelligence-Networking-Lab/channels4world-download)) sizes any
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  tier, split, profile, carrier and component choice and writes these commands for it.
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- <details>
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- <summary><b>Try one scene from Tiny</b></summary>
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  Download base station 0 of one scene (**26.0 MB** in 16 files, including the metadata the
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  library needs):
 
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  the number of environments separately from the data in each.
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  **Get data:** [Choose a subset and get download commands](https://cbchae.yonsei.ac.kr/channels4world/download.html) ([Space](https://huggingface.co/spaces/Intelligence-Networking-Lab/channels4world-download)) ·
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+ [26 MB starter: one Tiny scene](#download)
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  ![Example scenes across the urban, metropolitan and suburban profiles](docs/scenes.png)
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  | Detail (interactions) | The 10,000 Medium-tier scenes, both carriers |
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  | Total | About **20.8 TB**: the Full tier, the loose Tiny copy and metadata |
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+ **Access:** Geometry, positions and core channels for all 100,000 scenes are hosted on Hugging Face. Interaction detail exists for the full corpus; Hugging Face currently hosts the 10,000 Medium-tier scenes, including Tiny and Small. Interaction detail for the remaining scenes is currently unavailable for direct download. [Contact the project lead](https://cbchae.yonsei.ac.kr/channels4world/#contact) about access.
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+
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  Start with plain NumPy, use the `channels4world` library to select larger subsets, or
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  read the TAR archives with 🤗 Datasets. Numeric records are standard NPZ files;
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  geometry is ZIP. Every example follows one link: BS 0 and UE 14 of `urban_scene_019234`
 
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  add under 0.2%. Tiny is published as loose files (65.7 GB with its metadata), and its
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  scenes are also part of Small.*
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+ The 29.14 TB reported in the paper reflects an earlier compression and packaging format. The release has since been repackaged to make the data easier to download and use.
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+
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  Tiers choose scenes; components and carriers are chosen separately. Tiny needs no unpacking.
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  ## Download
 
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  The [download helper](https://cbchae.yonsei.ac.kr/channels4world/download.html) (also a [Space](https://huggingface.co/spaces/Intelligence-Networking-Lab/channels4world-download)) sizes any
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  tier, split, profile, carrier and component choice and writes these commands for it.
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+ <details open>
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+ <summary><b>Try one Tiny scene — 26 MB, 16 files</b></summary>
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  Download base station 0 of one scene (**26.0 MB** in 16 files, including the metadata the
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  library needs):