Datasets:

baobabtech
/

water-conflict-classifier-evals

version string	timestamp string	base_model string	train_size int64	test_size int64	full_train_size float64	batch_size int64	num_epochs int64	sample_size float64	sampling_strategy string	test_split float64	num_iterations float64	f1_micro float64	f1_macro float64	f1_samples float64	accuracy float64	hamming_loss float64	trigger_precision float64	trigger_recall float64	trigger_f1 float64	trigger_support int64	casualty_precision float64	casualty_recall float64	casualty_f1 float64	casualty_support int64	weapon_precision float64	weapon_recall float64	weapon_f1 float64	weapon_support int64	model_repo string	dataset_repo string	dataset_version string	notes float64	training_type string	n_trials float64	search_sample_size float64	search_models bool	best_hyperparameters string
v1.0	2025-11-27T05:17:07.315790	BAAI/bge-small-en-v1.5	1,200	519	2,937	64	1	1,200	undersampling	0.15	null	0.884026	0.814339	0.7158	0.851638	0.06808	0.914286	0.924855	0.91954	173	0.903361	0.922747	0.912951	233	0.674419	0.557692	0.610526	52	baobabtech/water-conflict-classifier	baobabtech/water-conflict-training-data	null	null	null	null	null	null	null
v1.0	2025-11-27T19:20:51.778713	sentence-transformers/all-MiniLM-L6-v2	1,200	519	2,937	64	1	1,200	undersampling	0.15	null	0.873085	0.785678	0.703918	0.83815	0.074502	0.891429	0.901734	0.896552	173	0.883534	0.944206	0.912863	233	0.71875	0.442308	0.547619	52	baobabtech/water-conflict-classifier-minilm	baobabtech/water-conflict-training-data	null	null	null	null	null	null	null
v1.0	2025-11-27T20:28:51.973089	BAAI/bge-small-en-v1.5	1,200	519	2,937	64	1	1,200	undersampling	0.15	null	0.884026	0.814339	0.7158	0.851638	0.06808	0.914286	0.924855	0.91954	173	0.903361	0.922747	0.912951	233	0.674419	0.557692	0.610526	52	baobabtech/water-conflict-classifier	baobabtech/water-conflict-training-data	null	null	null	null	null	null	null
v1.0	2025-11-27T20:53:26.770653	BAAI/bge-small-en-v1.5	1,200	519	2,937	64	1	1,200	undersampling	0.15	null	0.884026	0.814339	0.7158	0.851638	0.06808	0.914286	0.924855	0.91954	173	0.903361	0.922747	0.912951	233	0.674419	0.557692	0.610526	52	baobabtech/water-conflict-classifier	null	null	null	null	null	null	null	null
v1.1	2025-11-27T21:03:58.453990	BAAI/bge-small-en-v1.5	1,200	519	2,937	64	1	1,200	undersampling	0.15	null	0.884026	0.814339	0.7158	0.851638	0.06808	0.914286	0.924855	0.91954	173	0.903361	0.922747	0.912951	233	0.674419	0.557692	0.610526	52	baobabtech/water-conflict-classifier	null	null	null	null	null	null	null	null
v1.2	2025-11-30T00:15:31.781887	BAAI/bge-small-en-v1.5	1,200	519	null	64	1	null	undersampling	null	20	0.878723	0.809403	0.716442	0.83815	0.073218	0.91954	0.924855	0.92219	173	0.919492	0.93133	0.925373	233	0.5	0.692308	0.580645	52	baobabtech/water-conflict-classifier	null	null	null	null	null	null	null	null
v2.0	2025-11-30T00:32:52.657728	BAAI/bge-small-en-v1.5	1,200	519	null	64	1	null	undersampling	null	20	0.862327	0.814176	0.704817	0.816956	0.082852	0.888889	0.873563	0.881159	174	0.890756	0.909871	0.900212	233	0.57971	0.769231	0.661157	52	baobabtech/water-conflict-classifier	null	null	null	null	null	null	null	null
v2.1	2025-11-30T01:09:00.509893	BAAI/bge-small-en-v1.5	1,200	519	1,719	64	1	1,200	undersampling	0.30192	20	0.862327	0.814176	0.704817	0.816956	0.082852	0.888889	0.873563	0.881159	174	0.890756	0.909871	0.900212	233	0.57971	0.769231	0.661157	52	baobabtech/water-conflict-classifier	null	d2.0	null	null	null	null	null	null
v2.2	2025-11-30T01:39:22.540112	BAAI/bge-small-en-v1.5	1,200	519	1,719	16	3	1,200	undersampling	0.30192	20	0.86875	0.823141	0.709377	0.822736	0.080925	0.888889	0.873563	0.881159	174	0.876984	0.948498	0.91134	233	0.564103	0.846154	0.676923	52	baobabtech/water-conflict-classifier	null	d2.0	null	null	null	null	null	null
v2.3	2025-11-30T06:32:31.012425	BAAI/bge-small-en-v1.5	1,200	519	1,719	32	4	1,200	undersampling	0.30192	20	0.870021	0.822135	0.708992	0.822736	0.07964	0.875	0.885057	0.88	174	0.890244	0.939914	0.914405	233	0.575342	0.807692	0.672	52	baobabtech/water-conflict-classifier	null	d2.0	null	null	null	null	null	null
v2.4	2025-11-30T08:39:53.600475	BAAI/bge-small-en-v1.5	1,200	519	1,719	16	3	null	undersampling	0.30192	20	0.794297	0.72961	0.65896	0.691715	0.129737	0.843023	0.833333	0.83815	174	0.854772	0.88412	0.869198	233	0.354545	0.75	0.481481	52	baobabtech/water-conflict-classifier	null	d2.0	null	optuna	50	200	false	{'body_learning_rate': 1.4291965748432987e-06, 'head_learning_rate': 0.010793429167673138, 'num_epochs': 3, 'batch_size': 16, 'num_iterations': 20, 'seed': 72, 'max_iter': 153, 'solver': 'lbfgs', 'sampling_strategy': 'undersampling'}
v2.5	2025-12-02T02:13:03.385824	BAAI/bge-small-en-v1.5	1,200	519	1,719	32	2	1,200	oversampling	0.30192	20	0.865608	0.810628	0.70745	0.818882	0.081567	0.895349	0.885057	0.890173	174	0.888889	0.927039	0.907563	233	0.549296	0.75	0.634146	52	baobabtech/water-conflict-classifier	null	d2.0	null	standard	null	null	null	null
v2.6	2025-12-02T02:40:51.360905	BAAI/bge-small-en-v1.5	1,200	519	1,719	16	3	1,200	undersampling	0.30192	null	0.86875	0.823141	0.709377	0.822736	0.080925	0.888889	0.873563	0.881159	174	0.876984	0.948498	0.91134	233	0.564103	0.846154	0.676923	52	baobabtech/water-conflict-classifier	null	d2.0	null	standard	null	null	null	null
v2.7	2025-12-02T03:07:10.699513	BAAI/bge-small-en-v1.5	1,200	519	1,719	64	2	1,200	undersampling	0.30192	20	0.852321	0.798252	0.699294	0.809249	0.089917	0.90303	0.856322	0.879056	174	0.880658	0.918455	0.89916	233	0.506173	0.788462	0.616541	52	baobabtech/water-conflict-classifier	null	d2.0	null	standard	null	null	null	null
v2.8	2025-12-02T04:01:31.981874	BAAI/bge-small-en-v1.5	1,200	519	1,719	64	1	1,200	undersampling	0.30192	20	0.852972	0.798679	0.702762	0.801541	0.090559	0.884393	0.87931	0.881844	174	0.884298	0.918455	0.901053	233	0.494118	0.807692	0.613139	52	baobabtech/water-conflict-classifier	null	d2.0	null	standard	null	null	null	null

Water Conflict Classifier Evaluation Metrics

Evaluation metrics tracking the performance of the Water Conflict Classifier across multiple training iterations and model configurations.

Dataset Summary

This dataset contains evaluation results from training runs of the Water Conflict Classifier, a multi-label SetFit model that identifies water-related conflict events in news headlines. Each row represents one model version with comprehensive performance metrics across three classification labels: Trigger, Casualty, and Weapon.

Related Links:

🤗 Model Collection
🐙 GitHub Repository
📦 PyPI Package
🌊 Pacific Institute Water Conflict Chronology

Dataset Structure

Fields

Field	Type	Description
`version`	string	Model version identifier (v1.0, v2.0, etc.)
`timestamp`	string	Training completion timestamp
`base_model`	string	Base embedding model used
`train_size`	int	Number of training examples
`test_size`	int	Number of test examples
`f1_micro`	float	Micro-averaged F1 score
`f1_macro`	float	Macro-averaged F1 score
`accuracy`	float	Overall accuracy
`trigger_*`	float	Precision/recall/F1 for Trigger label
`casualty_*`	float	Precision/recall/F1 for Casualty label
`weapon_*`	float	Precision/recall/F1 for Weapon label
`model_repo`	string	HuggingFace model repository

Model Versions

The dataset tracks performance across different configurations:

Base models: BAAI/bge-small-en-v1.5, sentence-transformers/all-MiniLM-L6-v2
Training strategies: undersampling for class balance
Hyperparameter variations: batch size, epochs, sample size

Usage

from datasets import load_dataset

# Load the evaluation metrics
evals = load_dataset("baobabtech/water-conflict-classifier-evals")

# Compare model versions
import pandas as pd
df = pd.DataFrame(evals['train'])
print(df[['version', 'f1_macro', 'accuracy']].sort_values('f1_macro', ascending=False))

Citation

If you use this dataset or the Water Conflict Classifier in your research, please cite:

@misc{baobab_water_conflict_classifier,
  author = {Mills, Olivier},
  title = {Water Conflict Classifier: Few-Shot Learning for Water-Related Conflict Event Detection},
  year = {2025},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/baobabtech/water-conflict-classifier}}
}

License

CC-BY-NC-4.0 (Non-commercial use only)

Contact

Olivier Mills
Website: baobabtech.ai
LinkedIn: oliviermills

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Collection including baobabtech/water-conflict-classifier-evals

Water Conflict Classifier

Collection

Models and datasets for the classification of news and event headlines aligned with the Water Conflict Chronology by the Pacific Institute • 5 items • Updated Nov 27, 2025