The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: TypeError
Message: SplitInfo.__init__() got an unexpected keyword argument 'path'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 612, in get_module
dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 389, in from_dataset_card_data
dataset_info_yaml_dict.get("config_name", "default"): DatasetInfo._from_yaml_dict(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 319, in _from_yaml_dict
yaml_data["splits"] = SplitDict._from_yaml_list(yaml_data["splits"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/splits.py", line 610, in _from_yaml_list
return cls.from_split_dict(yaml_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/splits.py", line 580, in from_split_dict
split_info = SplitInfo(**split_info)
^^^^^^^^^^^^^^^^^^^^^^^
TypeError: SplitInfo.__init__() got an unexpected keyword argument 'path'Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
LexMetrix Nearshoring Latency Feed (NSLF)
The first open weekly operational latency index for the Caribbean Nearshoring → US East Coast corridor.
Built by LexMetrix · Updated weekly · License: CC BY 4.0
What this dataset is
The NSLF measures how smoothly cargo moves through the two main Dominican Republic ports — Puerto Caucedo (DP World) and Puerto Río Haina (HIT) — relative to their historical baseline, and benchmarks them against four regional competitors every week.
As US manufacturing nearshores to the Caribbean Basin under CAFTA-DR, port operational latency becomes a critical variable for supply chain planners. A single congestion event like the January 2025 Caucedo scanner failure (anchorage duration spiked to 11.6 days vs. a 0.6-day baseline) can cascade into missed delivery promises across dozens of manufacturers.
This feed turns that risk into a quantified, trackable, weekly number.
Latest reading — Week 2026-W23
| Port | NSLF Index | Signal | Corridor Rank |
|---|---|---|---|
| Caucedo (RD) | 97.40 | 🟢 STABLE_CORRIDOR | 2 / 5 |
| Haina (RD) | 101.51 | 🟢 STABLE_CORRIDOR | — |
| Kingston (JM) | 94.08 | 🟢 STABLE_CORRIDOR | 1 / 5 |
| Balboa (PA) | 100.99 | 🟢 STABLE_CORRIDOR | 3 / 5 |
| Cristóbal (PA) | 101.39 | 🟢 STABLE_CORRIDOR | 4 / 5 |
| Cartagena (CO) | 105.82 | 🟡 WATCH_CORRIDOR | 5 / 5 |
Base 100 = normal historical conditions (CEIC 2022–2025). Lower = less congestion.
Files
output/
├── weekly_feed.parquet ← Primary dataset. One row per port per week.
│ Includes NSLF index, component scores,
│ and all 4 regional comparative columns.
├── comparatives_feed.parquet ← Regional ports table (Kingston, Cristóbal,
│ Balboa, Cartagena). Same schema as weekly_feed.
└── disruption_log.csv ← Documented port disruption events with cause,
duration, and NSLF impact. The differentiator
no competitor publishes.
Schema
weekly_feed.parquet
| Column | Type | Description |
|---|---|---|
week |
string | ISO week, e.g. 2026-W23 |
port |
string | caucedo or haina |
nslf_index |
float | Composite latency index. Base 100 = normal |
nearshoring_signal |
string | FAVORABLE_CORRIDOR / STABLE_CORRIDOR / WATCH_CORRIDOR / CONGESTED_CORRIDOR |
anchorage_days |
float | Mean days vessel waits at anchor before berthing |
als_score |
float | Anchorage Latency Score (40% weight) |
port_stay_days |
float | Mean days vessel stays from berth to departure |
psds_score |
float | Port Stay Duration Score (35% weight) |
vessels_waiting |
int | Vessels at anchor at time of snapshot |
vqp_score |
float | Vessel Queue Pressure (20% weight) |
ecs_score |
float | External Congestion Signal from GoComet/Portcast CSVs (5% weight) |
comp_kingston_nslf |
float | Kingston (JM) NSLF that week |
comp_cristobal_nslf |
float | Cristóbal (PA) NSLF that week |
comp_balboa_nslf |
float | Balboa (PA) NSLF that week |
comp_cartagena_nslf |
float | Cartagena (CO) NSLF that week |
rd_advantage_vs_kingston |
float | Caucedo minus Kingston NSLF. Negative = RD has less congestion |
rd_advantage_vs_balboa |
float | Caucedo minus Balboa NSLF |
corridor_rank |
string | Caucedo's ordinal rank in corridor, e.g. 2/5 |
data_mode |
string | DEMO (synthetic calibrated) or LIVE (real AIS) |
disruption_log.csv
| Column | Description |
|---|---|
date |
Event date (YYYY-MM-DD) or ISO week |
port |
Affected port(s) |
event_type |
EQUIPMENT_FAILURE / CONGESTION_PEAK / INVESTMENT_ANNOUNCEMENT / INFRASTRUCTURE / ECS_AUTO_SPIKE |
severity |
LOW / MEDIUM / HIGH |
duration_days |
Estimated operational impact duration |
description |
Human-readable event summary |
source |
Original source (news outlet, market report, etc.) |
nslf_impact |
Quantified effect on NSLF index where documented |
Index Methodology
NSLF Index = ALS_score × 0.40
+ PSDS_score × 0.35
+ VQP_score × 0.20
+ ECS_score × 0.05
Where each score = (observed_value / historical_baseline) × 100
Signal thresholds:
| Range | Signal | Interpretation |
|---|---|---|
| < 90 | FAVORABLE_CORRIDOR |
Below-normal congestion. Competitive advantage over Asia. |
| 90–110 | STABLE_CORRIDOR |
Normal operations. Predictable for planning. |
| 110–125 | WATCH_CORRIDOR |
Elevated congestion. Monitor, adjust safety stock. |
| > 125 | CONGESTED_CORRIDOR |
Crisis-level. Alert clients, review shipment promises. |
Historical baselines (CEIC 2022–2025):
| Port | Anchorage (days) | Port Stay (days) | Vessels Waiting |
|---|---|---|---|
| Caucedo | 0.6 | 1.0 | 21 |
| Haina | 0.4 | 1.0 | 15 |
| Kingston | 1.8 | 2.1 | 28 |
| Cristóbal | 0.9 | 1.4 | 35 |
| Balboa | 1.5 | 1.6 | 40 |
| Cartagena | 0.7 | 1.2 | 18 |
Documented Disruptions (selected)
| Date | Port | Event | Peak NSLF Impact |
|---|---|---|---|
| 2025-01-08 | Caucedo | Scanner failure + post-holiday backlog. Protests by transporters. | Anchorage spike to 11.6 days (CEIC, baseline 0.6) |
| 2025-05-15 | Caucedo | Caribbean-wide congestion peak. 91% yard utilization. 2–6h vessel wait times. | VQP estimated >130 |
| 2025-05-26 | Caucedo | DP World + RD Gov sign US$860M expansion MoU. Target: 1.2M → 2.5M+ TEU. | Structural signal. Construction disruption risk 2025–2027. |
| 2026-02-23 | Nacional | National blackout (transmission fault). NAVIS SPARCS N4 impact probable. | PSDS disruption, duration ~hours |
Data Sources
| Layer | Source | Frequency | Coverage |
|---|---|---|---|
| Port congestion baselines | CEIC Data via MarineTraffic | Weekly | Caucedo, Haina 2022–2025 |
| AIS vessel arrivals/departures | VesselFinder | Real-time → weekly aggregate | All 6 ports |
| External congestion signal | GoComet / Portcast exports | As available | RD ports |
| Disruption events | Diario Libre, K+N Market Updates, Business Insider | Event-driven | Manual curation |
| Regional comparatives | CEIC Panama, K+N Seaexplorer, Panama Ship Service | Weekly | Kingston, Cristóbal, Balboa, Cartagena |
Current Status: DEMO Mode
All rows with data_mode = "DEMO" use synthetic data calibrated to CEIC historical baselines. The index structure, schema, comparative methodology, and disruption log are production-ready.
Transition to LIVE mode requires:
- VesselFinder API key (free tier: 100 req/day — sufficient for weekly pipeline) → Register: https://www.vesselfinder.com/api/plans
- Run:
python pipeline.py --week 2026-W24 --apikey YOUR_KEY data_modefield changes automatically toLIVE
Why this dataset exists
Dominican Republic's free zone sector hit 200,134 direct jobs in December 2025 — a historic milestone. DP World's US$860M expansion targets 2.5M+ TEU capacity to compete directly with Kingston. ITEK, AAFA apparel brands, and medical device manufacturers are actively nearshoring to RD under CAFTA-DR duty-free access.
Yet no public weekly index existed to tell supply chain planners: how congested are Caucedo and Haina right now, and how does that compare to the alternatives?
This feed is that index.
Related datasets
- LexMetrix Anti-Monopoly Feed RD — HHI concentration index for Dominican Republic markets
Citation
@dataset{lexmetrix_nslf_2026,
author = {LexMetrix AltData},
title = {Nearshoring Latency Feed (NSLF): Caribbean Port Operational Intelligence},
year = {2026},
publisher = {HuggingFace Datasets},
url = {https://huggingface.co/datasets/lexmetrix/nearshoring-latency-feed},
note = {Weekly. Covers Puerto Caucedo (DP World) and Puerto Río Haina (HIT),
Dominican Republic, with regional comparatives for Kingston (JM),
Cristóbal and Balboa (PA), and Cartagena (CO).}
}
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
You may use, adapt, and redistribute this dataset for any purpose, including commercial, provided you credit LexMetrix AltData.
Maintained by LexMetrix · Santo Domingo, Dominican Republic
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