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Datasets:
judicialmind
/
BharatWater-Data

Tasks:
Time Series Forecasting
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
1M - 10M
Tags:
water
reservoirs
rainfall
soil-moisture
india
time-series
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community

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This dataset is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 licence (CC BY-NC-SA 4.0): research, academic, personal and other non-commercial use is permitted with attribution; adaptations must be shared under the same licence; commercial use is not permitted. The original public source data remains under the Government Open Data License - India (GODL-India). Commercial use: contact surya@judicialmind.ai or hello@judicialmind.ai.

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BharatWater-Data

Licence: CC BY-NC-SA 4.0 — research and non-commercial use only; derivatives must be shared under the same licence. Commercial use: contact surya@judicialmind.ai or hello@judicialmind.ai

Access is approved automatically when the email you enter matches your Hugging Face account email and belongs to the organisation you name; other requests are reviewed manually.

A clean daily panel of India's water: level and live storage of every reservoir in the Central Water Commission bulletin, rainfall for every district, and soil moisture at 15 cm for every district, deduplicated, with implausible values flagged rather than silently dropped. It is the data behind BharatWater-Bench and BharatWater-Chronos.

Coverage: 153 CWC reservoirs (daily live storage and % of capacity, 1991-01-01 to 2026-04-14), 702 districts of daily rainfall (weekly: 670), 733 districts of daily soil moisture (2018-07-24 to 2025-06-30)

file content rows span
data/reservoirs_daily.parquet Daily reservoir level and live storage per CWC-monitored reservoir 2,155,314 1991-01-01 to 2026-04-14
data/rainfall_district_daily.parquet Daily rainfall per district 1,540,755 2018-01-01 to 2026-05-04
data/soil_moisture_district.parquet Daily soil moisture at 15 cm per district 1,744,383 2018-07-24 to 2025-06-30

Quickstart 

import pandas as pd
from huggingface_hub import snapshot_download

root = snapshot_download("judicialmind/BharatWater-Data", repo_type="dataset")
res = pd.read_parquet(f"{root}/data/reservoirs_daily.parquet")
print(res.head())

Data dictionary

data/reservoirs_daily.parquet

column type description non-null
series_id String series identifier used in BharatWater-Bench 2,155,314
reservoir String reservoir name as published by CWC 2,155,314
basin String river basin 2,155,314
lat Float64 latitude (decimal degrees) 1,918,441
lon Float64 longitude (decimal degrees) 1,918,441
date Date observation date 2,155,314
live_capacity_bcm Float64 2,131,855
storage_bcm Float64 1,504,623
pct_live_capacity Float64 1,496,434
level_m Float64 1,495,679
frl_m Float64 2,139,608
n_dupes UInt32 2,155,314
outlier Boolean true where the value failed the plausibility checks (kept, not used in the benchmark) 2,155,314

data/rainfall_district_daily.parquet

column type description non-null
geo_key String normalised 'state district' key
state String State / UT 1,540,755
district String district 1,540,755
state_lgd Int32 LGD State code 1,199,957
district_lgd Int32 LGD district code 1,199,957
date Date observation date 1,540,755
rain_mm Float64 rainfall on the day (mm) 1,523,766
rain_normal_mm Float64 long-period normal rainfall for the day (mm) 1,195,120
source String 1,540,755
outlier Boolean true where the value failed the plausibility checks (kept, not used in the benchmark) 1,540,755

data/soil_moisture_district.parquet

column type description non-null
geo_key String normalised 'state district' key
state String State / UT 1,744,383
district String district 1,744,383
date Date observation date 1,744,383
soil_moisture_15cm Float64 1,744,383
outlier Boolean true where the value failed the plausibility checks (kept, not used in the benchmark) 1,744,383

Source data

Derived from three resources of the Open Government Data Platform India (data.gov.in): the CWC daily reservoir level and storage bulletin, the NRSC district-wise daily soil moisture series and IMD district rainfall (gridded IMD rainfall averaged to districts, continued with the NDAP district daily rainfall series), all under the Government Open Data License - India (GODL-India).

Original data: published by Central Water Commission (CWC), Ministry of Jal Shakti (reservoir levels and storage); India Meteorological Department (IMD) and NITI Aayog's NDAP (district rainfall); National Remote Sensing Centre (NRSC), ISRO (district soil moisture) on the Open Government Data Platform India (data.gov.in) and, where marked, NITI Aayog's National Data and Analytics Platform (NDAP), under the Government Open Data License - India (GODL-India). The original public data remains under GODL-India; the CC BY-NC-SA 4.0 licence of this repository covers JudicialMind's compilation, derived fields, annotations, benchmarks and models.

Citation 

@misc{judicialmind2026bharatwaterdata,
  title={BharatWater-Data: Daily Reservoir, Rainfall and Soil Moisture Panel for India},
  author={JudicialMind},
  year={2026},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/datasets/judicialmind/BharatWater-Data}}
}

License

CC BY-NC-SA 4.0 (see LICENSE): research, academic, personal and other non-commercial use, with attribution to JudicialMind and to the original data publishers; adaptations must be shared under the same licence. Commercial use requires a separate licence.

Commercial use: contact surya@judicialmind.ai or hello@judicialmind.ai.
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