The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 1 fields in line 31, saw 2
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
for key, pa_table in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 190, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 31, saw 2Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
WaterWise Tips (Text Dataset)
Owner: Liat2025
Dataset name: Liat2025/waterwise_tips_2025
Modality: Text
Size: 1,000+ short tips
Primary file: tips_dataset.csv (UTF-8 CSV, 1 column)
🧭 Dataset Summary
WaterWise Tips is a text dataset of short, actionable water-saving recommendations.
It supports semantic similarity and recommendation tasks: given a user’s text input, a model retrieves the top-3 most similar tips to encourage behavior change. The dataset is designed for teaching embeddings, cosine similarity, and retrieval.
Why it fits the use case: Tips are concise, diverse, and cover household, garden, hygiene, appliance use, and seasonal behaviors—ideal for a recommendation engine that suggests practical actions.
✅ Supported Tasks
- Text embedding & similarity (e.g., SentenceTransformers)
- Retrieval-augmented recommendation (top-k)
- Semantic search / clustering demos
📦 Structure
- Files
tips_dataset.csv— one-column CSV with headertip
- Columns
tip(string) — a single, self-contained water-saving recommendation
- Splits
- Single “train-like” file (no labels); suitable for unsupervised similarity
Example rows
- Turn off the tap while brushing your teeth.
- Use a bucket to wash your car instead of a hose.
- Water your garden in the early morning or late evening.
- Only run the dishwasher when it’s full.
- Fix leaky faucets promptly.
🔧 How to Load
Option A — pandas (direct CSV URL):
import pandas as pd
url = "https://huggingface.co/datasets/Liat2025/waterwise_tips_2025/resolve/main/tips_dataset.csv"
df = pd.read_csv(url)
print(len(df), "rows")
print(df.head())
🧪 Suggested Evaluation (mini)
Embed all tips once (e.g., sentence-transformers/all-MiniLM-L6-v2), embed a test query like
“Long showers in summer — how to save water?”, compute cosine similarity, and return top-3.
This demonstrates retrieval quality and practical relevance.
🏗️ How It Was Created (Synthetic Data Process)
- Seed set: Manually curated, high-quality water-saving tips.
- Synthesis: Expanded using Hugging Face text-generation/paraphrasing for variety.
- Cleaning: De-duplication via sentence embeddings; removed near-duplicates and empty/very short lines; standardized punctuation.
- Result: Clean, diverse set of 1,000+ concise tips for text similarity.
🔒 Ethics, Bias & Limitations
- General guidance only (not engineering advice).
- Some tips are region-dependent (e.g., irrigation norms).
- Verify local regulations and conditions before use.
📜 License
CC BY 4.0 — You may share and adapt with attribution.
📣 Citation
If you use this dataset, please cite:
Liat2025 (2025). WaterWise Tips (Text Dataset). Hugging Face Datasets:
Liat2025/waterwise_tips_2025. CC BY 4.0.
🗂️ Versioning & Changelog
- v1.0 (2025-08-13): Initial public release (1,000+ tips).
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