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Initial upload: nnU-Net NLSTseg fold 0 (Pseudo Dice 0.7663, no overfitting)

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+ ---
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+ license: cc-by-4.0
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+ tags:
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+ - nnunet
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+ - nnunetv2
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+ - medical-imaging
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+ - segmentation
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+ - 3d-segmentation
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+ - ct
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+ - ldct
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+ - low-dose-ct
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+ - lung
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+ - lung-cancer
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+ - tumor-segmentation
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+ - multi-institutional
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+ library_name: nnunetv2
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+ pipeline_tag: image-segmentation
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+ datasets:
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+ - NLSTseg
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+ language:
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+ - en
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+ ---
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+
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+ # CLN-Segmenter — NLSTseg Lung Lesion Segmentation (fold 0)
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+
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+ A 3D U-Net (nnU-Net v2 `3d_fullres`) trained on the **NLSTseg** dataset — pixel-level lung lesion annotations on low-dose screening CT (LDCT) from the National Lung Screening Trial. Fold 0 of 5-fold cross-validation. Released as part of the CLN-Segmenter project at the Rasool Lab, Moffitt Cancer Center.
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+
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+ This is a single-fold pretrain checkpoint, intended as a starting point for downstream lung-lesion segmentation work — not a clinical-grade tool.
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+
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+ ## Quick stats
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+
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+ | | |
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+ |--|--|
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+ | **Architecture** | nnU-Net v2 `3d_fullres` (PlainConvUNet, 6 stages, features `[32, 64, 128, 256, 320, 320]`) |
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+ | **Training data** | NLSTseg — 604 cases (1 excluded; 483 train / 121 val for fold 0) |
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+ | **Modality** | Low-dose screening CT (LDCT), multi-institutional |
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+ | **Loss** | Dice + Cross-Entropy (nnU-Net default), `batch_dice=True` |
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+ | **Schedule** | 1000 epochs, polynomial LR decay 0.01 → 0, batch size 2, patch `[80, 192, 160]` |
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+ | **Hardware** | 1× NVIDIA H100 80GB, ~7h wall-time |
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+ | **Best EMA Pseudo Dice** | **0.7663** (epoch ~870) |
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+ | **Expected real test Dice** | ~0.78–0.80 via sliding-window inference |
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+ | **Generalization** | No measurable overfitting — train/val loss curves overlap throughout |
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+
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+ ## Files in this repo
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+
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+ | File | Role |
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+ |------|------|
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+ | `checkpoint_best.pth` | Model weights — saved at the EMA Pseudo Dice peak (~epoch 870) |
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+ | `nnUNetPlans.json` | Architecture spec + preprocessing plans. **Required** for inference. |
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+ | `dataset.json` | Channel names, label names, file ending (nnU-Net v2 schema). **Required** for inference. |
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+ | `dataset_fingerprint.json` | HU intensity stats from training data |
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+ | `splits_final.json` | Train/val case ID splits for fold 0 (reproducibility) |
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+ | `progress.png` | Training curves: loss, Pseudo Dice, epoch duration, learning rate |
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+
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+ ## Training data and provenance
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+
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+ This model was trained **only on the publicly available NLSTseg dataset** (Chen et al. 2025, *Scientific Data*, CC-BY 4.0): pixel-level lung lesion annotations on top of NLST low-dose screening CT imagery. It contains 715 expert-annotated lesions across 605 patients (1 patient excluded — `nlst_0393` / patient 205714 — due to a CT/mask shape mismatch in the source files; see project changelog).
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+
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+ NLSTseg has key characteristics that make it complementary to diagnostic-CT datasets:
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+
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+ - **Multi-institutional**: 33 contributing institutions, 4 scanner brands (GE, Siemens, Philips, Toshiba)
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+ - **Screening-cohort lesions**: smaller than typical diagnostic-CT tumors (median lesion volume **1.37 cm³**) — most caught at Stage IA
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+ - **Multi-label source**: per-lesion integer labels (1–7) in the original masks; binarized to `{0, 1}` for this single-class training. The tumor-vs-nodule distinction (`labels_type` 1 vs 2 in the original `Label.xlsx`) is recoverable from the source if a future multi-class run is desired.
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+ - **LDCT noise**: lower radiation dose than diagnostic CT; noisier images, often thicker slices
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+
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+ **No patient-identifiable or institutional data was used.** This checkpoint contains no information derived from any non-public source.
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+
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+ ## Intended use
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+
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+ - **Pretrained starting point** for finetuning on related lung-lesion segmentation tasks, especially LDCT or screening-cohort data
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+ - **Reference baseline** for nnU-Net default performance on NLSTseg's small-lesion, multi-institutional regime
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+ - **Input to ensembling** with other folds (when 5-fold runs are available)
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+
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+ ## How NOT to use it
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+
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+ - ❌ Not validated for clinical diagnosis or treatment decisions
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+ - ❌ Not validated on diagnostic-CT cases (different intensity distributions, larger lesions) — see Limitations
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+ - ❌ Single fold, not an ensemble — paper-grade results require all 5 folds
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+ - ❌ Multi-lesion identity is collapsed in training labels; if your downstream task needs per-lesion instances, this checkpoint won't recover them directly
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+
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+ ## How to use
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+
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+ ### 1. Download the checkpoint and metadata
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ local_dir = snapshot_download(repo_id="Lab-Rasool/CLN-Segmenter-NLSTseg-fold0")
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+ print("Files at:", local_dir)
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+ ```
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+
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+ ### 2. Set up an nnU-Net inference directory
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+
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+ nnU-Net expects a specific directory structure for results:
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+
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+ ```
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+ nnUNet_results/
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+ └── Dataset503_NLSTseg/
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+ └── nnUNetTrainer__nnUNetPlans__3d_fullres/
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+ ├── dataset.json
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+ ├── plans.json (rename from nnUNetPlans.json)
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+ ├── dataset_fingerprint.json
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+ └── fold_0/
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+ ├── checkpoint_best.pth
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+ └── splits_final.json
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+ ```
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+
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+ You can build this with:
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+
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+ ```bash
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+ DST=/path/to/nnUNet_results/Dataset503_NLSTseg/nnUNetTrainer__nnUNetPlans__3d_fullres
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+ mkdir -p $DST/fold_0
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+ cp $local_dir/dataset.json $DST/dataset.json
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+ cp $local_dir/nnUNetPlans.json $DST/plans.json
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+ cp $local_dir/dataset_fingerprint.json $DST/dataset_fingerprint.json
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+ cp $local_dir/checkpoint_best.pth $DST/fold_0/checkpoint_best.pth
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+ cp $local_dir/splits_final.json $DST/fold_0/splits_final.json
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+ ```
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+
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+ ### 3. Run inference with nnU-Net
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+
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+ ```bash
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+ export nnUNet_results=/path/to/nnUNet_results
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+ nnUNetv2_predict \
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+ -i /path/to/your/input_images \
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+ -o /path/to/output_predictions \
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+ -d 503 \
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+ -c 3d_fullres \
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+ -tr nnUNetTrainer \
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+ -p nnUNetPlans \
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+ -f 0 \
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+ -chk checkpoint_best.pth
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+ ```
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+
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+ Input images should be CT volumes named with the nnU-Net channel suffix: `<case_id>_0000.nii.gz`.
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+
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+ ## Training procedure
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+
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+ - **Framework**: nnU-Net v2.7.0 (default trainer)
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+ - **Preprocessing**: CT-specific normalization (HU clipping at the 0.5/99.5 percentiles of foreground voxels, then per-case z-score), resampling to target spacing `[1.25, 0.664, 0.664]` mm
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+ - **Augmentation**: nnU-Net's default 3D augmentation pipeline (rotation, scaling, gamma, mirroring, gaussian noise/blur, low-resolution simulation)
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+ - **Optimization**: SGD + Nesterov momentum (β=0.99), polynomial LR decay (initial LR 0.01)
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+ - **Iterations**: fixed 250 per epoch (nnU-Net default; independent of dataset size)
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+ - **Best-checkpoint mechanism**: nnU-Net automatically tracks EMA of validation Pseudo Dice and saves `checkpoint_best.pth` at the peak
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+
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+ ## Evaluation
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+
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+ | Metric | Value |
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+ |--------|-------|
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+ | Best EMA Pseudo Dice (fold 0 validation) | **0.7663** |
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+ | Pseudo Dice raw (jagged) range | 0.45–0.85 |
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+ | Training/validation loss gap (final epoch) | ~0 (no measurable overfitting) |
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+
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+ The training plot (`progress.png`) shows:
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+
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+ 1. **Smooth Pseudo Dice climb** from 0 → 0.55 in the first ~50 epochs, then 0.55 → 0.77 over epochs 50–870. Slow continuous improvement throughout, with diminishing returns past epoch ~600.
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+ 2. **Train/val loss curves overlap nearly perfectly** end-to-end. With 483 training cases, the model has enough data variety that it cannot memorize specifics — the 10× larger training set than the MSD-only baseline (50 cases) translates into noticeably better generalization, even though raw Pseudo Dice is lower in absolute terms.
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+
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+ The Pseudo Dice value (0.77) is **lower than published Task06 baselines (0.69–0.78)** when measured on the same nnU-Net pipeline, which is expected and not a quality issue:
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+
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+ - NLSTseg's median lesion volume (1.37 cm³) is ~4× smaller than MSD Task06's (5.22 cm³); per-voxel Dice on small lesions is harder.
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+ - 33-institution / 4-scanner variability adds domain shift that hurts pooled-voxel Dice but improves transfer.
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+ - LDCT is noisier than diagnostic CT.
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+
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+ Note that **Pseudo Dice is voxel-pooled across validation patches**, not per-case averaged. Real test-time Dice (per-case, full-volume sliding-window inference) typically lands 1–3% higher — so the 0.7663 number translates to roughly **0.78–0.80 real test Dice**, which we expect to confirm via `nnUNetv2_predict` on the 121 fold-0 validation cases.
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+
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+ ## Why this checkpoint matters
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+
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+ This is the **clean-generalization complement** to the MSD-only fold-0 checkpoint (`Lab-Rasool/CLN-Segmenter-MSD-fold0`). MSD shows what nnU-Net default does on a small (50 train / 13 val) single-institution diagnostic-CT corpus with large tumors → high Pseudo Dice (0.82) but with mild late-stage overfitting. NLSTseg shows the opposite end: ~10× more data (483 train / 121 val), multi-institutional LDCT, smaller lesions → lower raw Dice (0.77) but no overfitting.
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+
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+ For Stage 2 finetuning on a target domain, this checkpoint is the right choice when the target is screening / LDCT / multi-institutional / small-lesion. For diagnostic-CT-heavy targets, the MSD checkpoint or the unified `Dataset500_LungLesions` pretrain (when available) is the better starting point.
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+
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+ ## Limitations
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+
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+ - **Single fold of 5-fold CV** — not an ensemble. Published-grade numbers require all 5 folds either averaged or ensembled at inference.
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+ - **Trained on LDCT only** — performance on diagnostic CT is unknown and likely lower without finetuning (different HU distributions, less noise).
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+ - **Small lesions dominate the training distribution** — performance on large primary tumors (e.g., >5 cm³) is not optimized for.
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+ - **Multi-label → binary collapse**: per-lesion identity and tumor-vs-nodule distinction are lost in this checkpoint's outputs.
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+ - **One source case excluded** (`nlst_0393` / patient 205714) due to source-data shape mismatch. Not a model issue, but worth knowing if you reproduce.
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+ - **No clinical validation** — this is a research artifact, not a medical device.
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+
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+ ## License
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+
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+ **CC-BY 4.0**, inherited from the NLSTseg source dataset license.
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+
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+ ## Citation
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+
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+ If you use this model, please cite:
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+
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+ ```bibtex
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+ @article{isensee2021nnunet,
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+ title = {nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation},
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+ author = {Isensee, Fabian and Jaeger, Paul F and Kohl, Simon A A and Petersen, Jens and Maier-Hein, Klaus H},
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+ journal = {Nature Methods},
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+ volume = {18},
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+ number = {2},
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+ pages = {203--211},
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+ year = {2021}
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+ }
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+
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+ @article{chen2025nlstseg,
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+ title = {NLSTseg: A Pixel-level Lung Cancer Dataset Based on NLST LDCT Images},
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+ author = {Chen, et al.},
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+ journal = {Scientific Data},
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+ year = {2025},
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+ doi = {10.1038/s41597-025-05742-x}
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+ }
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+
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+ @article{nlst2011,
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+ title = {Reduced lung-cancer mortality with low-dose computed tomographic screening},
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+ author = {{The National Lung Screening Trial Research Team}},
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+ journal = {New England Journal of Medicine},
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+ year = {2011},
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+ doi = {10.1056/NEJMoa1102873}
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+ }
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+ ```
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+
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+ ## Project context
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+
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+ Part of **CLN-Segmenter** at the Rasool Lab, Moffitt Cancer Center: a two-stage approach for lung lesion segmentation that pretrains on public datasets (this is one component) and finetunes on internal data with domain-specific loss formulations.
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+
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+ - **Code**: https://github.com/lab-rasool/CLN-Segmenter
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+ - **Lab**: https://huggingface.co/Lab-Rasool
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+
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+ Other models in this series:
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+ - `Lab-Rasool/CLN-Segmenter-MSD-fold0` — single-dataset MSD Task06 POC (diagnostic CT, 63 expert cases, Dice 0.82)
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+ - `Lab-Rasool/CLN-Segmenter-Dataset500-fold0` — unified MSD + NLSTseg pretrain (planned)
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551
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559
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562
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565
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567
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571
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573
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575
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585
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586
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603
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605
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607
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608
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609
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610
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611
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634
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636
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637
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670
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672
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675
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676
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678
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679
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680
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681
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684
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685
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686
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687
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688
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689
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726
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753
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761
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762
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1386
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1390
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1393
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1394
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1396
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1397
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1401
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1402
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1403
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1404
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1405
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1406
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1407
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1408
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1409
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1410
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1411
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1412
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1413
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1414
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1415
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1416
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1417
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1418
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1419
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1420
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1421
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1422
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1423
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1424
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1425
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1426
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1427
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1428
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1429
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1430
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1431
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1432
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1433
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1434
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1435
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1436
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1437
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1438
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1439
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1440
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1441
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1442
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1443
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1444
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1445
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1446
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1447
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1448
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1449
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1450
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1451
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1452
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1453
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1454
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1455
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1456
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1457
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1458
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1459
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1460
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1461
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1462
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1463
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1464
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1465
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1466
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1467
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1468
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1469
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1470
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1471
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1472
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1473
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1474
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1475
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1476
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1477
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1478
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1479
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1480
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1481
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1482
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1483
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1484
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1485
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1486
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1487
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1488
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1489
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1490
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1491
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1492
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1493
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1494
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1495
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1496
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1497
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1498
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1499
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1500
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1501
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1502
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1503
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1504
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1505
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1506
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1507
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1508
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1509
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1510
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1511
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1512
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1513
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1514
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1515
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1516
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1517
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1518
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1519
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1520
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1521
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1522
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1523
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1524
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1525
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1526
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1527
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1528
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1529
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1530
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1531
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1532
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1533
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1534
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1535
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1536
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1537
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1538
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1539
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1540
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1541
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1542
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1543
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1544
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1545
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1546
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1547
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1548
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1549
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1550
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1551
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1552
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1553
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1554
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1555
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1556
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1557
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1558
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1559
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1560
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1561
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1562
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1563
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1564
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1565
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1566
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1567
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1568
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1569
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1570
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1571
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1572
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1573
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1574
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1577
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1578
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1579
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1580
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1581
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1582
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1583
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1584
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1587
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1588
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1589
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1590
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1591
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1592
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1593
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1594
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1595
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1596
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1597
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1598
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1599
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1600
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1601
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1602
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1603
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1604
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1605
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1606
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1607
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1608
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1609
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1610
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1611
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1612
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1613
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1614
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1615
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1616
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1617
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1618
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1619
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1620
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1621
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1622
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1623
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1624
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1625
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1626
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1627
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1628
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1629
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1630
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1631
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1632
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1633
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1634
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1635
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1636
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1637
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1638
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1639
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1640
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1641
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1642
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1643
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1644
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1645
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1646
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1647
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1648
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1649
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1650
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1651
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1652
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1653
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1654
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1655
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1656
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1657
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1658
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1659
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1660
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1661
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1662
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1663
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1664
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1665
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1666
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1667
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1668
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1669
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1670
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1671
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1672
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1673
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1674
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1675
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1676
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1677
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1678
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1679
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1680
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1681
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1682
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1683
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1684
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1685
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1686
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1687
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1688
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1689
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1690
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1691
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1692
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1693
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1694
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1695
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1696
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1697
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1698
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1699
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1700
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1701
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1702
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1703
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1704
+ "nlst_0601",
1705
+ "nlst_0602",
1706
+ "nlst_0605"
1707
+ ],
1708
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1709
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1710
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1711
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1712
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1713
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1714
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1715
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1716
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1717
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1718
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1719
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1720
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1721
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1722
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1723
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1724
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1725
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1726
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1727
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1728
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1729
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1730
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1731
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1732
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1733
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1734
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1735
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1736
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1737
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1738
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1739
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1740
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1741
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1742
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1743
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1744
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1745
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1746
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1747
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1748
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1749
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1750
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1751
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1752
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1753
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1754
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1755
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1756
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1757
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1758
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1759
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1760
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1761
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1762
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1763
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1764
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1765
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1766
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1767
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1768
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1769
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1770
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1771
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1772
+ "nlst_0339",
1773
+ "nlst_0344",
1774
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1775
+ "nlst_0350",
1776
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1777
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1778
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1779
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1780
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1781
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1782
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1783
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1784
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1785
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1786
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1787
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1788
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1789
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1790
+ "nlst_0397",
1791
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1792
+ "nlst_0403",
1793
+ "nlst_0406",
1794
+ "nlst_0413",
1795
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1796
+ "nlst_0419",
1797
+ "nlst_0424",
1798
+ "nlst_0425",
1799
+ "nlst_0426",
1800
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1801
+ "nlst_0456",
1802
+ "nlst_0464",
1803
+ "nlst_0466",
1804
+ "nlst_0471",
1805
+ "nlst_0475",
1806
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1807
+ "nlst_0491",
1808
+ "nlst_0492",
1809
+ "nlst_0496",
1810
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1811
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1812
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1813
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1814
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1815
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1816
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1817
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1818
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1819
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1820
+ "nlst_0545",
1821
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1822
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1823
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1824
+ "nlst_0581",
1825
+ "nlst_0584",
1826
+ "nlst_0592",
1827
+ "nlst_0599",
1828
+ "nlst_0603",
1829
+ "nlst_0604"
1830
+ ]
1831
+ },
1832
+ {
1833
+ "train": [
1834
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1835
+ "nlst_0004",
1836
+ "nlst_0005",
1837
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1838
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1839
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1840
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1841
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1842
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1843
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1844
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1845
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1846
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1847
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1848
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1849
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1850
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1851
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1852
+ "nlst_0023",
1853
+ "nlst_0024",
1854
+ "nlst_0028",
1855
+ "nlst_0029",
1856
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1857
+ "nlst_0031",
1858
+ "nlst_0032",
1859
+ "nlst_0033",
1860
+ "nlst_0034",
1861
+ "nlst_0035",
1862
+ "nlst_0036",
1863
+ "nlst_0037",
1864
+ "nlst_0039",
1865
+ "nlst_0041",
1866
+ "nlst_0042",
1867
+ "nlst_0044",
1868
+ "nlst_0046",
1869
+ "nlst_0047",
1870
+ "nlst_0048",
1871
+ "nlst_0049",
1872
+ "nlst_0051",
1873
+ "nlst_0052",
1874
+ "nlst_0053",
1875
+ "nlst_0054",
1876
+ "nlst_0055",
1877
+ "nlst_0056",
1878
+ "nlst_0057",
1879
+ "nlst_0058",
1880
+ "nlst_0059",
1881
+ "nlst_0060",
1882
+ "nlst_0061",
1883
+ "nlst_0064",
1884
+ "nlst_0065",
1885
+ "nlst_0066",
1886
+ "nlst_0067",
1887
+ "nlst_0068",
1888
+ "nlst_0069",
1889
+ "nlst_0070",
1890
+ "nlst_0071",
1891
+ "nlst_0072",
1892
+ "nlst_0073",
1893
+ "nlst_0074",
1894
+ "nlst_0076",
1895
+ "nlst_0077",
1896
+ "nlst_0078",
1897
+ "nlst_0080",
1898
+ "nlst_0081",
1899
+ "nlst_0082",
1900
+ "nlst_0083",
1901
+ "nlst_0084",
1902
+ "nlst_0085",
1903
+ "nlst_0086",
1904
+ "nlst_0087",
1905
+ "nlst_0088",
1906
+ "nlst_0089",
1907
+ "nlst_0090",
1908
+ "nlst_0091",
1909
+ "nlst_0092",
1910
+ "nlst_0097",
1911
+ "nlst_0098",
1912
+ "nlst_0099",
1913
+ "nlst_0100",
1914
+ "nlst_0101",
1915
+ "nlst_0102",
1916
+ "nlst_0103",
1917
+ "nlst_0104",
1918
+ "nlst_0106",
1919
+ "nlst_0107",
1920
+ "nlst_0108",
1921
+ "nlst_0109",
1922
+ "nlst_0111",
1923
+ "nlst_0112",
1924
+ "nlst_0113",
1925
+ "nlst_0114",
1926
+ "nlst_0115",
1927
+ "nlst_0116",
1928
+ "nlst_0117",
1929
+ "nlst_0119",
1930
+ "nlst_0120",
1931
+ "nlst_0121",
1932
+ "nlst_0122",
1933
+ "nlst_0124",
1934
+ "nlst_0125",
1935
+ "nlst_0126",
1936
+ "nlst_0129",
1937
+ "nlst_0130",
1938
+ "nlst_0131",
1939
+ "nlst_0132",
1940
+ "nlst_0133",
1941
+ "nlst_0134",
1942
+ "nlst_0135",
1943
+ "nlst_0136",
1944
+ "nlst_0137",
1945
+ "nlst_0138",
1946
+ "nlst_0139",
1947
+ "nlst_0142",
1948
+ "nlst_0144",
1949
+ "nlst_0145",
1950
+ "nlst_0147",
1951
+ "nlst_0149",
1952
+ "nlst_0150",
1953
+ "nlst_0151",
1954
+ "nlst_0153",
1955
+ "nlst_0155",
1956
+ "nlst_0156",
1957
+ "nlst_0157",
1958
+ "nlst_0158",
1959
+ "nlst_0159",
1960
+ "nlst_0160",
1961
+ "nlst_0161",
1962
+ "nlst_0162",
1963
+ "nlst_0163",
1964
+ "nlst_0164",
1965
+ "nlst_0165",
1966
+ "nlst_0167",
1967
+ "nlst_0168",
1968
+ "nlst_0169",
1969
+ "nlst_0170",
1970
+ "nlst_0176",
1971
+ "nlst_0178",
1972
+ "nlst_0179",
1973
+ "nlst_0181",
1974
+ "nlst_0183",
1975
+ "nlst_0184",
1976
+ "nlst_0185",
1977
+ "nlst_0186",
1978
+ "nlst_0187",
1979
+ "nlst_0189",
1980
+ "nlst_0190",
1981
+ "nlst_0191",
1982
+ "nlst_0192",
1983
+ "nlst_0193",
1984
+ "nlst_0195",
1985
+ "nlst_0196",
1986
+ "nlst_0197",
1987
+ "nlst_0198",
1988
+ "nlst_0200",
1989
+ "nlst_0202",
1990
+ "nlst_0204",
1991
+ "nlst_0205",
1992
+ "nlst_0207",
1993
+ "nlst_0208",
1994
+ "nlst_0209",
1995
+ "nlst_0210",
1996
+ "nlst_0212",
1997
+ "nlst_0213",
1998
+ "nlst_0214",
1999
+ "nlst_0215",
2000
+ "nlst_0216",
2001
+ "nlst_0217",
2002
+ "nlst_0218",
2003
+ "nlst_0220",
2004
+ "nlst_0221",
2005
+ "nlst_0222",
2006
+ "nlst_0224",
2007
+ "nlst_0225",
2008
+ "nlst_0227",
2009
+ "nlst_0228",
2010
+ "nlst_0230",
2011
+ "nlst_0231",
2012
+ "nlst_0232",
2013
+ "nlst_0235",
2014
+ "nlst_0237",
2015
+ "nlst_0238",
2016
+ "nlst_0240",
2017
+ "nlst_0241",
2018
+ "nlst_0242",
2019
+ "nlst_0243",
2020
+ "nlst_0245",
2021
+ "nlst_0246",
2022
+ "nlst_0247",
2023
+ "nlst_0248",
2024
+ "nlst_0251",
2025
+ "nlst_0252",
2026
+ "nlst_0253",
2027
+ "nlst_0254",
2028
+ "nlst_0255",
2029
+ "nlst_0256",
2030
+ "nlst_0258",
2031
+ "nlst_0259",
2032
+ "nlst_0260",
2033
+ "nlst_0261",
2034
+ "nlst_0262",
2035
+ "nlst_0263",
2036
+ "nlst_0264",
2037
+ "nlst_0265",
2038
+ "nlst_0267",
2039
+ "nlst_0268",
2040
+ "nlst_0271",
2041
+ "nlst_0272",
2042
+ "nlst_0273",
2043
+ "nlst_0275",
2044
+ "nlst_0276",
2045
+ "nlst_0277",
2046
+ "nlst_0278",
2047
+ "nlst_0279",
2048
+ "nlst_0280",
2049
+ "nlst_0282",
2050
+ "nlst_0283",
2051
+ "nlst_0284",
2052
+ "nlst_0285",
2053
+ "nlst_0286",
2054
+ "nlst_0287",
2055
+ "nlst_0288",
2056
+ "nlst_0289",
2057
+ "nlst_0290",
2058
+ "nlst_0291",
2059
+ "nlst_0292",
2060
+ "nlst_0293",
2061
+ "nlst_0294",
2062
+ "nlst_0295",
2063
+ "nlst_0296",
2064
+ "nlst_0297",
2065
+ "nlst_0298",
2066
+ "nlst_0299",
2067
+ "nlst_0300",
2068
+ "nlst_0301",
2069
+ "nlst_0302",
2070
+ "nlst_0303",
2071
+ "nlst_0304",
2072
+ "nlst_0305",
2073
+ "nlst_0306",
2074
+ "nlst_0307",
2075
+ "nlst_0309",
2076
+ "nlst_0310",
2077
+ "nlst_0311",
2078
+ "nlst_0312",
2079
+ "nlst_0314",
2080
+ "nlst_0315",
2081
+ "nlst_0316",
2082
+ "nlst_0318",
2083
+ "nlst_0319",
2084
+ "nlst_0320",
2085
+ "nlst_0322",
2086
+ "nlst_0324",
2087
+ "nlst_0325",
2088
+ "nlst_0328",
2089
+ "nlst_0329",
2090
+ "nlst_0330",
2091
+ "nlst_0331",
2092
+ "nlst_0332",
2093
+ "nlst_0334",
2094
+ "nlst_0335",
2095
+ "nlst_0336",
2096
+ "nlst_0338",
2097
+ "nlst_0339",
2098
+ "nlst_0342",
2099
+ "nlst_0343",
2100
+ "nlst_0344",
2101
+ "nlst_0345",
2102
+ "nlst_0347",
2103
+ "nlst_0348",
2104
+ "nlst_0349",
2105
+ "nlst_0350",
2106
+ "nlst_0351",
2107
+ "nlst_0352",
2108
+ "nlst_0353",
2109
+ "nlst_0354",
2110
+ "nlst_0355",
2111
+ "nlst_0356",
2112
+ "nlst_0357",
2113
+ "nlst_0358",
2114
+ "nlst_0359",
2115
+ "nlst_0360",
2116
+ "nlst_0362",
2117
+ "nlst_0363",
2118
+ "nlst_0364",
2119
+ "nlst_0366",
2120
+ "nlst_0367",
2121
+ "nlst_0368",
2122
+ "nlst_0369",
2123
+ "nlst_0370",
2124
+ "nlst_0371",
2125
+ "nlst_0372",
2126
+ "nlst_0373",
2127
+ "nlst_0375",
2128
+ "nlst_0376",
2129
+ "nlst_0377",
2130
+ "nlst_0378",
2131
+ "nlst_0380",
2132
+ "nlst_0381",
2133
+ "nlst_0382",
2134
+ "nlst_0383",
2135
+ "nlst_0385",
2136
+ "nlst_0386",
2137
+ "nlst_0387",
2138
+ "nlst_0388",
2139
+ "nlst_0389",
2140
+ "nlst_0390",
2141
+ "nlst_0391",
2142
+ "nlst_0392",
2143
+ "nlst_0394",
2144
+ "nlst_0395",
2145
+ "nlst_0396",
2146
+ "nlst_0397",
2147
+ "nlst_0399",
2148
+ "nlst_0400",
2149
+ "nlst_0401",
2150
+ "nlst_0402",
2151
+ "nlst_0403",
2152
+ "nlst_0404",
2153
+ "nlst_0405",
2154
+ "nlst_0406",
2155
+ "nlst_0407",
2156
+ "nlst_0408",
2157
+ "nlst_0409",
2158
+ "nlst_0410",
2159
+ "nlst_0411",
2160
+ "nlst_0412",
2161
+ "nlst_0413",
2162
+ "nlst_0414",
2163
+ "nlst_0415",
2164
+ "nlst_0416",
2165
+ "nlst_0418",
2166
+ "nlst_0419",
2167
+ "nlst_0420",
2168
+ "nlst_0422",
2169
+ "nlst_0423",
2170
+ "nlst_0424",
2171
+ "nlst_0425",
2172
+ "nlst_0426",
2173
+ "nlst_0427",
2174
+ "nlst_0429",
2175
+ "nlst_0430",
2176
+ "nlst_0431",
2177
+ "nlst_0432",
2178
+ "nlst_0433",
2179
+ "nlst_0434",
2180
+ "nlst_0435",
2181
+ "nlst_0436",
2182
+ "nlst_0437",
2183
+ "nlst_0438",
2184
+ "nlst_0439",
2185
+ "nlst_0441",
2186
+ "nlst_0442",
2187
+ "nlst_0443",
2188
+ "nlst_0444",
2189
+ "nlst_0446",
2190
+ "nlst_0447",
2191
+ "nlst_0448",
2192
+ "nlst_0450",
2193
+ "nlst_0455",
2194
+ "nlst_0456",
2195
+ "nlst_0458",
2196
+ "nlst_0459",
2197
+ "nlst_0460",
2198
+ "nlst_0461",
2199
+ "nlst_0462",
2200
+ "nlst_0463",
2201
+ "nlst_0464",
2202
+ "nlst_0466",
2203
+ "nlst_0468",
2204
+ "nlst_0469",
2205
+ "nlst_0470",
2206
+ "nlst_0471",
2207
+ "nlst_0472",
2208
+ "nlst_0473",
2209
+ "nlst_0475",
2210
+ "nlst_0476",
2211
+ "nlst_0477",
2212
+ "nlst_0478",
2213
+ "nlst_0479",
2214
+ "nlst_0481",
2215
+ "nlst_0482",
2216
+ "nlst_0483",
2217
+ "nlst_0484",
2218
+ "nlst_0485",
2219
+ "nlst_0486",
2220
+ "nlst_0487",
2221
+ "nlst_0488",
2222
+ "nlst_0491",
2223
+ "nlst_0492",
2224
+ "nlst_0493",
2225
+ "nlst_0494",
2226
+ "nlst_0496",
2227
+ "nlst_0497",
2228
+ "nlst_0498",
2229
+ "nlst_0499",
2230
+ "nlst_0502",
2231
+ "nlst_0503",
2232
+ "nlst_0504",
2233
+ "nlst_0505",
2234
+ "nlst_0506",
2235
+ "nlst_0507",
2236
+ "nlst_0508",
2237
+ "nlst_0509",
2238
+ "nlst_0512",
2239
+ "nlst_0513",
2240
+ "nlst_0514",
2241
+ "nlst_0515",
2242
+ "nlst_0516",
2243
+ "nlst_0518",
2244
+ "nlst_0519",
2245
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2246
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2247
+ "nlst_0522",
2248
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2249
+ "nlst_0524",
2250
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2251
+ "nlst_0527",
2252
+ "nlst_0528",
2253
+ "nlst_0529",
2254
+ "nlst_0530",
2255
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2256
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2257
+ "nlst_0533",
2258
+ "nlst_0534",
2259
+ "nlst_0535",
2260
+ "nlst_0536",
2261
+ "nlst_0537",
2262
+ "nlst_0538",
2263
+ "nlst_0539",
2264
+ "nlst_0540",
2265
+ "nlst_0541",
2266
+ "nlst_0542",
2267
+ "nlst_0543",
2268
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2269
+ "nlst_0545",
2270
+ "nlst_0547",
2271
+ "nlst_0548",
2272
+ "nlst_0549",
2273
+ "nlst_0550",
2274
+ "nlst_0551",
2275
+ "nlst_0552",
2276
+ "nlst_0554",
2277
+ "nlst_0555",
2278
+ "nlst_0557",
2279
+ "nlst_0558",
2280
+ "nlst_0562",
2281
+ "nlst_0563",
2282
+ "nlst_0564",
2283
+ "nlst_0565",
2284
+ "nlst_0566",
2285
+ "nlst_0567",
2286
+ "nlst_0568",
2287
+ "nlst_0569",
2288
+ "nlst_0571",
2289
+ "nlst_0572",
2290
+ "nlst_0573",
2291
+ "nlst_0574",
2292
+ "nlst_0575",
2293
+ "nlst_0576",
2294
+ "nlst_0577",
2295
+ "nlst_0578",
2296
+ "nlst_0580",
2297
+ "nlst_0581",
2298
+ "nlst_0582",
2299
+ "nlst_0583",
2300
+ "nlst_0584",
2301
+ "nlst_0586",
2302
+ "nlst_0588",
2303
+ "nlst_0589",
2304
+ "nlst_0591",
2305
+ "nlst_0592",
2306
+ "nlst_0593",
2307
+ "nlst_0594",
2308
+ "nlst_0596",
2309
+ "nlst_0597",
2310
+ "nlst_0598",
2311
+ "nlst_0599",
2312
+ "nlst_0601",
2313
+ "nlst_0602",
2314
+ "nlst_0603",
2315
+ "nlst_0604",
2316
+ "nlst_0605"
2317
+ ],
2318
+ "val": [
2319
+ "nlst_0002",
2320
+ "nlst_0003",
2321
+ "nlst_0008",
2322
+ "nlst_0016",
2323
+ "nlst_0025",
2324
+ "nlst_0026",
2325
+ "nlst_0027",
2326
+ "nlst_0038",
2327
+ "nlst_0040",
2328
+ "nlst_0043",
2329
+ "nlst_0045",
2330
+ "nlst_0050",
2331
+ "nlst_0062",
2332
+ "nlst_0063",
2333
+ "nlst_0075",
2334
+ "nlst_0079",
2335
+ "nlst_0093",
2336
+ "nlst_0094",
2337
+ "nlst_0095",
2338
+ "nlst_0096",
2339
+ "nlst_0105",
2340
+ "nlst_0110",
2341
+ "nlst_0118",
2342
+ "nlst_0123",
2343
+ "nlst_0127",
2344
+ "nlst_0128",
2345
+ "nlst_0140",
2346
+ "nlst_0141",
2347
+ "nlst_0143",
2348
+ "nlst_0146",
2349
+ "nlst_0148",
2350
+ "nlst_0152",
2351
+ "nlst_0154",
2352
+ "nlst_0166",
2353
+ "nlst_0171",
2354
+ "nlst_0172",
2355
+ "nlst_0173",
2356
+ "nlst_0174",
2357
+ "nlst_0175",
2358
+ "nlst_0177",
2359
+ "nlst_0180",
2360
+ "nlst_0182",
2361
+ "nlst_0188",
2362
+ "nlst_0194",
2363
+ "nlst_0199",
2364
+ "nlst_0201",
2365
+ "nlst_0203",
2366
+ "nlst_0206",
2367
+ "nlst_0211",
2368
+ "nlst_0219",
2369
+ "nlst_0223",
2370
+ "nlst_0226",
2371
+ "nlst_0229",
2372
+ "nlst_0233",
2373
+ "nlst_0234",
2374
+ "nlst_0236",
2375
+ "nlst_0239",
2376
+ "nlst_0244",
2377
+ "nlst_0249",
2378
+ "nlst_0250",
2379
+ "nlst_0257",
2380
+ "nlst_0266",
2381
+ "nlst_0269",
2382
+ "nlst_0270",
2383
+ "nlst_0274",
2384
+ "nlst_0281",
2385
+ "nlst_0308",
2386
+ "nlst_0313",
2387
+ "nlst_0317",
2388
+ "nlst_0321",
2389
+ "nlst_0323",
2390
+ "nlst_0326",
2391
+ "nlst_0327",
2392
+ "nlst_0333",
2393
+ "nlst_0337",
2394
+ "nlst_0340",
2395
+ "nlst_0341",
2396
+ "nlst_0346",
2397
+ "nlst_0361",
2398
+ "nlst_0365",
2399
+ "nlst_0374",
2400
+ "nlst_0379",
2401
+ "nlst_0384",
2402
+ "nlst_0398",
2403
+ "nlst_0417",
2404
+ "nlst_0421",
2405
+ "nlst_0428",
2406
+ "nlst_0440",
2407
+ "nlst_0445",
2408
+ "nlst_0449",
2409
+ "nlst_0451",
2410
+ "nlst_0452",
2411
+ "nlst_0453",
2412
+ "nlst_0454",
2413
+ "nlst_0457",
2414
+ "nlst_0465",
2415
+ "nlst_0467",
2416
+ "nlst_0474",
2417
+ "nlst_0480",
2418
+ "nlst_0489",
2419
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2420
+ "nlst_0495",
2421
+ "nlst_0500",
2422
+ "nlst_0501",
2423
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2424
+ "nlst_0511",
2425
+ "nlst_0517",
2426
+ "nlst_0525",
2427
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2428
+ "nlst_0553",
2429
+ "nlst_0556",
2430
+ "nlst_0559",
2431
+ "nlst_0560",
2432
+ "nlst_0561",
2433
+ "nlst_0570",
2434
+ "nlst_0579",
2435
+ "nlst_0585",
2436
+ "nlst_0587",
2437
+ "nlst_0590",
2438
+ "nlst_0595",
2439
+ "nlst_0600"
2440
+ ]
2441
+ },
2442
+ {
2443
+ "train": [
2444
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2445
+ "nlst_0002",
2446
+ "nlst_0003",
2447
+ "nlst_0004",
2448
+ "nlst_0005",
2449
+ "nlst_0007",
2450
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2451
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2452
+ "nlst_0010",
2453
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2454
+ "nlst_0012",
2455
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2456
+ "nlst_0014",
2457
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2458
+ "nlst_0016",
2459
+ "nlst_0017",
2460
+ "nlst_0018",
2461
+ "nlst_0019",
2462
+ "nlst_0020",
2463
+ "nlst_0021",
2464
+ "nlst_0022",
2465
+ "nlst_0023",
2466
+ "nlst_0025",
2467
+ "nlst_0026",
2468
+ "nlst_0027",
2469
+ "nlst_0028",
2470
+ "nlst_0029",
2471
+ "nlst_0031",
2472
+ "nlst_0032",
2473
+ "nlst_0034",
2474
+ "nlst_0036",
2475
+ "nlst_0038",
2476
+ "nlst_0039",
2477
+ "nlst_0040",
2478
+ "nlst_0041",
2479
+ "nlst_0042",
2480
+ "nlst_0043",
2481
+ "nlst_0045",
2482
+ "nlst_0046",
2483
+ "nlst_0047",
2484
+ "nlst_0048",
2485
+ "nlst_0049",
2486
+ "nlst_0050",
2487
+ "nlst_0051",
2488
+ "nlst_0052",
2489
+ "nlst_0053",
2490
+ "nlst_0054",
2491
+ "nlst_0055",
2492
+ "nlst_0056",
2493
+ "nlst_0057",
2494
+ "nlst_0058",
2495
+ "nlst_0061",
2496
+ "nlst_0062",
2497
+ "nlst_0063",
2498
+ "nlst_0065",
2499
+ "nlst_0066",
2500
+ "nlst_0067",
2501
+ "nlst_0068",
2502
+ "nlst_0069",
2503
+ "nlst_0071",
2504
+ "nlst_0072",
2505
+ "nlst_0074",
2506
+ "nlst_0075",
2507
+ "nlst_0076",
2508
+ "nlst_0079",
2509
+ "nlst_0081",
2510
+ "nlst_0083",
2511
+ "nlst_0085",
2512
+ "nlst_0086",
2513
+ "nlst_0088",
2514
+ "nlst_0089",
2515
+ "nlst_0090",
2516
+ "nlst_0091",
2517
+ "nlst_0093",
2518
+ "nlst_0094",
2519
+ "nlst_0095",
2520
+ "nlst_0096",
2521
+ "nlst_0098",
2522
+ "nlst_0100",
2523
+ "nlst_0101",
2524
+ "nlst_0102",
2525
+ "nlst_0103",
2526
+ "nlst_0104",
2527
+ "nlst_0105",
2528
+ "nlst_0107",
2529
+ "nlst_0110",
2530
+ "nlst_0111",
2531
+ "nlst_0113",
2532
+ "nlst_0114",
2533
+ "nlst_0115",
2534
+ "nlst_0116",
2535
+ "nlst_0118",
2536
+ "nlst_0120",
2537
+ "nlst_0121",
2538
+ "nlst_0123",
2539
+ "nlst_0124",
2540
+ "nlst_0127",
2541
+ "nlst_0128",
2542
+ "nlst_0129",
2543
+ "nlst_0131",
2544
+ "nlst_0133",
2545
+ "nlst_0134",
2546
+ "nlst_0135",
2547
+ "nlst_0136",
2548
+ "nlst_0137",
2549
+ "nlst_0138",
2550
+ "nlst_0139",
2551
+ "nlst_0140",
2552
+ "nlst_0141",
2553
+ "nlst_0142",
2554
+ "nlst_0143",
2555
+ "nlst_0145",
2556
+ "nlst_0146",
2557
+ "nlst_0148",
2558
+ "nlst_0149",
2559
+ "nlst_0150",
2560
+ "nlst_0151",
2561
+ "nlst_0152",
2562
+ "nlst_0153",
2563
+ "nlst_0154",
2564
+ "nlst_0155",
2565
+ "nlst_0157",
2566
+ "nlst_0158",
2567
+ "nlst_0159",
2568
+ "nlst_0160",
2569
+ "nlst_0161",
2570
+ "nlst_0162",
2571
+ "nlst_0163",
2572
+ "nlst_0164",
2573
+ "nlst_0165",
2574
+ "nlst_0166",
2575
+ "nlst_0169",
2576
+ "nlst_0170",
2577
+ "nlst_0171",
2578
+ "nlst_0172",
2579
+ "nlst_0173",
2580
+ "nlst_0174",
2581
+ "nlst_0175",
2582
+ "nlst_0176",
2583
+ "nlst_0177",
2584
+ "nlst_0178",
2585
+ "nlst_0179",
2586
+ "nlst_0180",
2587
+ "nlst_0181",
2588
+ "nlst_0182",
2589
+ "nlst_0183",
2590
+ "nlst_0184",
2591
+ "nlst_0185",
2592
+ "nlst_0187",
2593
+ "nlst_0188",
2594
+ "nlst_0189",
2595
+ "nlst_0190",
2596
+ "nlst_0191",
2597
+ "nlst_0192",
2598
+ "nlst_0194",
2599
+ "nlst_0195",
2600
+ "nlst_0196",
2601
+ "nlst_0197",
2602
+ "nlst_0198",
2603
+ "nlst_0199",
2604
+ "nlst_0200",
2605
+ "nlst_0201",
2606
+ "nlst_0202",
2607
+ "nlst_0203",
2608
+ "nlst_0204",
2609
+ "nlst_0205",
2610
+ "nlst_0206",
2611
+ "nlst_0207",
2612
+ "nlst_0208",
2613
+ "nlst_0210",
2614
+ "nlst_0211",
2615
+ "nlst_0214",
2616
+ "nlst_0216",
2617
+ "nlst_0217",
2618
+ "nlst_0218",
2619
+ "nlst_0219",
2620
+ "nlst_0220",
2621
+ "nlst_0221",
2622
+ "nlst_0222",
2623
+ "nlst_0223",
2624
+ "nlst_0224",
2625
+ "nlst_0226",
2626
+ "nlst_0229",
2627
+ "nlst_0230",
2628
+ "nlst_0231",
2629
+ "nlst_0233",
2630
+ "nlst_0234",
2631
+ "nlst_0235",
2632
+ "nlst_0236",
2633
+ "nlst_0238",
2634
+ "nlst_0239",
2635
+ "nlst_0240",
2636
+ "nlst_0241",
2637
+ "nlst_0242",
2638
+ "nlst_0244",
2639
+ "nlst_0245",
2640
+ "nlst_0247",
2641
+ "nlst_0248",
2642
+ "nlst_0249",
2643
+ "nlst_0250",
2644
+ "nlst_0251",
2645
+ "nlst_0253",
2646
+ "nlst_0254",
2647
+ "nlst_0255",
2648
+ "nlst_0256",
2649
+ "nlst_0257",
2650
+ "nlst_0258",
2651
+ "nlst_0259",
2652
+ "nlst_0263",
2653
+ "nlst_0266",
2654
+ "nlst_0267",
2655
+ "nlst_0269",
2656
+ "nlst_0270",
2657
+ "nlst_0271",
2658
+ "nlst_0272",
2659
+ "nlst_0273",
2660
+ "nlst_0274",
2661
+ "nlst_0275",
2662
+ "nlst_0276",
2663
+ "nlst_0277",
2664
+ "nlst_0278",
2665
+ "nlst_0279",
2666
+ "nlst_0281",
2667
+ "nlst_0282",
2668
+ "nlst_0283",
2669
+ "nlst_0284",
2670
+ "nlst_0287",
2671
+ "nlst_0290",
2672
+ "nlst_0291",
2673
+ "nlst_0292",
2674
+ "nlst_0293",
2675
+ "nlst_0296",
2676
+ "nlst_0297",
2677
+ "nlst_0299",
2678
+ "nlst_0300",
2679
+ "nlst_0301",
2680
+ "nlst_0304",
2681
+ "nlst_0305",
2682
+ "nlst_0306",
2683
+ "nlst_0307",
2684
+ "nlst_0308",
2685
+ "nlst_0309",
2686
+ "nlst_0311",
2687
+ "nlst_0312",
2688
+ "nlst_0313",
2689
+ "nlst_0314",
2690
+ "nlst_0315",
2691
+ "nlst_0317",
2692
+ "nlst_0318",
2693
+ "nlst_0320",
2694
+ "nlst_0321",
2695
+ "nlst_0323",
2696
+ "nlst_0324",
2697
+ "nlst_0325",
2698
+ "nlst_0326",
2699
+ "nlst_0327",
2700
+ "nlst_0328",
2701
+ "nlst_0329",
2702
+ "nlst_0330",
2703
+ "nlst_0331",
2704
+ "nlst_0332",
2705
+ "nlst_0333",
2706
+ "nlst_0335",
2707
+ "nlst_0336",
2708
+ "nlst_0337",
2709
+ "nlst_0339",
2710
+ "nlst_0340",
2711
+ "nlst_0341",
2712
+ "nlst_0342",
2713
+ "nlst_0343",
2714
+ "nlst_0344",
2715
+ "nlst_0346",
2716
+ "nlst_0348",
2717
+ "nlst_0349",
2718
+ "nlst_0350",
2719
+ "nlst_0351",
2720
+ "nlst_0352",
2721
+ "nlst_0353",
2722
+ "nlst_0355",
2723
+ "nlst_0356",
2724
+ "nlst_0357",
2725
+ "nlst_0359",
2726
+ "nlst_0360",
2727
+ "nlst_0361",
2728
+ "nlst_0362",
2729
+ "nlst_0363",
2730
+ "nlst_0364",
2731
+ "nlst_0365",
2732
+ "nlst_0366",
2733
+ "nlst_0367",
2734
+ "nlst_0368",
2735
+ "nlst_0369",
2736
+ "nlst_0373",
2737
+ "nlst_0374",
2738
+ "nlst_0376",
2739
+ "nlst_0377",
2740
+ "nlst_0378",
2741
+ "nlst_0379",
2742
+ "nlst_0380",
2743
+ "nlst_0381",
2744
+ "nlst_0382",
2745
+ "nlst_0384",
2746
+ "nlst_0385",
2747
+ "nlst_0386",
2748
+ "nlst_0387",
2749
+ "nlst_0389",
2750
+ "nlst_0391",
2751
+ "nlst_0396",
2752
+ "nlst_0397",
2753
+ "nlst_0398",
2754
+ "nlst_0399",
2755
+ "nlst_0401",
2756
+ "nlst_0402",
2757
+ "nlst_0403",
2758
+ "nlst_0405",
2759
+ "nlst_0406",
2760
+ "nlst_0408",
2761
+ "nlst_0409",
2762
+ "nlst_0410",
2763
+ "nlst_0413",
2764
+ "nlst_0414",
2765
+ "nlst_0415",
2766
+ "nlst_0416",
2767
+ "nlst_0417",
2768
+ "nlst_0418",
2769
+ "nlst_0419",
2770
+ "nlst_0420",
2771
+ "nlst_0421",
2772
+ "nlst_0423",
2773
+ "nlst_0424",
2774
+ "nlst_0425",
2775
+ "nlst_0426",
2776
+ "nlst_0428",
2777
+ "nlst_0430",
2778
+ "nlst_0431",
2779
+ "nlst_0432",
2780
+ "nlst_0433",
2781
+ "nlst_0434",
2782
+ "nlst_0435",
2783
+ "nlst_0436",
2784
+ "nlst_0437",
2785
+ "nlst_0438",
2786
+ "nlst_0439",
2787
+ "nlst_0440",
2788
+ "nlst_0442",
2789
+ "nlst_0444",
2790
+ "nlst_0445",
2791
+ "nlst_0446",
2792
+ "nlst_0447",
2793
+ "nlst_0448",
2794
+ "nlst_0449",
2795
+ "nlst_0451",
2796
+ "nlst_0452",
2797
+ "nlst_0453",
2798
+ "nlst_0454",
2799
+ "nlst_0455",
2800
+ "nlst_0456",
2801
+ "nlst_0457",
2802
+ "nlst_0459",
2803
+ "nlst_0460",
2804
+ "nlst_0462",
2805
+ "nlst_0463",
2806
+ "nlst_0464",
2807
+ "nlst_0465",
2808
+ "nlst_0466",
2809
+ "nlst_0467",
2810
+ "nlst_0468",
2811
+ "nlst_0469",
2812
+ "nlst_0470",
2813
+ "nlst_0471",
2814
+ "nlst_0472",
2815
+ "nlst_0473",
2816
+ "nlst_0474",
2817
+ "nlst_0475",
2818
+ "nlst_0476",
2819
+ "nlst_0477",
2820
+ "nlst_0478",
2821
+ "nlst_0479",
2822
+ "nlst_0480",
2823
+ "nlst_0481",
2824
+ "nlst_0482",
2825
+ "nlst_0483",
2826
+ "nlst_0485",
2827
+ "nlst_0486",
2828
+ "nlst_0488",
2829
+ "nlst_0489",
2830
+ "nlst_0490",
2831
+ "nlst_0491",
2832
+ "nlst_0492",
2833
+ "nlst_0493",
2834
+ "nlst_0495",
2835
+ "nlst_0496",
2836
+ "nlst_0497",
2837
+ "nlst_0498",
2838
+ "nlst_0500",
2839
+ "nlst_0501",
2840
+ "nlst_0502",
2841
+ "nlst_0504",
2842
+ "nlst_0505",
2843
+ "nlst_0506",
2844
+ "nlst_0507",
2845
+ "nlst_0508",
2846
+ "nlst_0509",
2847
+ "nlst_0510",
2848
+ "nlst_0511",
2849
+ "nlst_0512",
2850
+ "nlst_0513",
2851
+ "nlst_0515",
2852
+ "nlst_0516",
2853
+ "nlst_0517",
2854
+ "nlst_0518",
2855
+ "nlst_0519",
2856
+ "nlst_0521",
2857
+ "nlst_0522",
2858
+ "nlst_0523",
2859
+ "nlst_0524",
2860
+ "nlst_0525",
2861
+ "nlst_0528",
2862
+ "nlst_0529",
2863
+ "nlst_0530",
2864
+ "nlst_0531",
2865
+ "nlst_0532",
2866
+ "nlst_0533",
2867
+ "nlst_0534",
2868
+ "nlst_0535",
2869
+ "nlst_0536",
2870
+ "nlst_0537",
2871
+ "nlst_0539",
2872
+ "nlst_0540",
2873
+ "nlst_0541",
2874
+ "nlst_0542",
2875
+ "nlst_0544",
2876
+ "nlst_0545",
2877
+ "nlst_0546",
2878
+ "nlst_0547",
2879
+ "nlst_0550",
2880
+ "nlst_0551",
2881
+ "nlst_0552",
2882
+ "nlst_0553",
2883
+ "nlst_0554",
2884
+ "nlst_0555",
2885
+ "nlst_0556",
2886
+ "nlst_0559",
2887
+ "nlst_0560",
2888
+ "nlst_0561",
2889
+ "nlst_0563",
2890
+ "nlst_0565",
2891
+ "nlst_0566",
2892
+ "nlst_0567",
2893
+ "nlst_0568",
2894
+ "nlst_0570",
2895
+ "nlst_0571",
2896
+ "nlst_0574",
2897
+ "nlst_0575",
2898
+ "nlst_0576",
2899
+ "nlst_0577",
2900
+ "nlst_0578",
2901
+ "nlst_0579",
2902
+ "nlst_0580",
2903
+ "nlst_0581",
2904
+ "nlst_0582",
2905
+ "nlst_0583",
2906
+ "nlst_0584",
2907
+ "nlst_0585",
2908
+ "nlst_0586",
2909
+ "nlst_0587",
2910
+ "nlst_0588",
2911
+ "nlst_0589",
2912
+ "nlst_0590",
2913
+ "nlst_0591",
2914
+ "nlst_0592",
2915
+ "nlst_0593",
2916
+ "nlst_0594",
2917
+ "nlst_0595",
2918
+ "nlst_0596",
2919
+ "nlst_0597",
2920
+ "nlst_0598",
2921
+ "nlst_0599",
2922
+ "nlst_0600",
2923
+ "nlst_0601",
2924
+ "nlst_0602",
2925
+ "nlst_0603",
2926
+ "nlst_0604",
2927
+ "nlst_0605"
2928
+ ],
2929
+ "val": [
2930
+ "nlst_0006",
2931
+ "nlst_0024",
2932
+ "nlst_0030",
2933
+ "nlst_0033",
2934
+ "nlst_0035",
2935
+ "nlst_0037",
2936
+ "nlst_0044",
2937
+ "nlst_0059",
2938
+ "nlst_0060",
2939
+ "nlst_0064",
2940
+ "nlst_0070",
2941
+ "nlst_0073",
2942
+ "nlst_0077",
2943
+ "nlst_0078",
2944
+ "nlst_0080",
2945
+ "nlst_0082",
2946
+ "nlst_0084",
2947
+ "nlst_0087",
2948
+ "nlst_0092",
2949
+ "nlst_0097",
2950
+ "nlst_0099",
2951
+ "nlst_0106",
2952
+ "nlst_0108",
2953
+ "nlst_0109",
2954
+ "nlst_0112",
2955
+ "nlst_0117",
2956
+ "nlst_0119",
2957
+ "nlst_0122",
2958
+ "nlst_0125",
2959
+ "nlst_0126",
2960
+ "nlst_0130",
2961
+ "nlst_0132",
2962
+ "nlst_0144",
2963
+ "nlst_0147",
2964
+ "nlst_0156",
2965
+ "nlst_0167",
2966
+ "nlst_0168",
2967
+ "nlst_0186",
2968
+ "nlst_0193",
2969
+ "nlst_0209",
2970
+ "nlst_0212",
2971
+ "nlst_0213",
2972
+ "nlst_0215",
2973
+ "nlst_0225",
2974
+ "nlst_0227",
2975
+ "nlst_0228",
2976
+ "nlst_0232",
2977
+ "nlst_0237",
2978
+ "nlst_0243",
2979
+ "nlst_0246",
2980
+ "nlst_0252",
2981
+ "nlst_0260",
2982
+ "nlst_0261",
2983
+ "nlst_0262",
2984
+ "nlst_0264",
2985
+ "nlst_0265",
2986
+ "nlst_0268",
2987
+ "nlst_0280",
2988
+ "nlst_0285",
2989
+ "nlst_0286",
2990
+ "nlst_0288",
2991
+ "nlst_0289",
2992
+ "nlst_0294",
2993
+ "nlst_0295",
2994
+ "nlst_0298",
2995
+ "nlst_0302",
2996
+ "nlst_0303",
2997
+ "nlst_0310",
2998
+ "nlst_0316",
2999
+ "nlst_0319",
3000
+ "nlst_0322",
3001
+ "nlst_0334",
3002
+ "nlst_0338",
3003
+ "nlst_0345",
3004
+ "nlst_0347",
3005
+ "nlst_0354",
3006
+ "nlst_0358",
3007
+ "nlst_0370",
3008
+ "nlst_0371",
3009
+ "nlst_0372",
3010
+ "nlst_0375",
3011
+ "nlst_0383",
3012
+ "nlst_0388",
3013
+ "nlst_0390",
3014
+ "nlst_0392",
3015
+ "nlst_0394",
3016
+ "nlst_0395",
3017
+ "nlst_0400",
3018
+ "nlst_0404",
3019
+ "nlst_0407",
3020
+ "nlst_0411",
3021
+ "nlst_0412",
3022
+ "nlst_0422",
3023
+ "nlst_0427",
3024
+ "nlst_0429",
3025
+ "nlst_0441",
3026
+ "nlst_0443",
3027
+ "nlst_0450",
3028
+ "nlst_0458",
3029
+ "nlst_0461",
3030
+ "nlst_0484",
3031
+ "nlst_0487",
3032
+ "nlst_0494",
3033
+ "nlst_0499",
3034
+ "nlst_0503",
3035
+ "nlst_0514",
3036
+ "nlst_0520",
3037
+ "nlst_0526",
3038
+ "nlst_0527",
3039
+ "nlst_0538",
3040
+ "nlst_0543",
3041
+ "nlst_0548",
3042
+ "nlst_0549",
3043
+ "nlst_0557",
3044
+ "nlst_0558",
3045
+ "nlst_0562",
3046
+ "nlst_0564",
3047
+ "nlst_0569",
3048
+ "nlst_0572",
3049
+ "nlst_0573"
3050
+ ]
3051
+ }
3052
+ ]