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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Expected object or value
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 281, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value

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US Farmers Markets 2026 — record-level dataset + state statistics

The cleaned, deduplicated US farmers-market dataset — 7,951 markets, record-level, plus state-by-state statistics — compiled from the USDA AMS Local Food Portal and refreshed 2026. Deduplicated to 7,951 markets on 2026-07-21 — see the Versions note below.

Canonical landing page (downloads, methodology, license): https://harvestlymarkets.com/data-sources/

What's inside

  • us-farmers-markets-2026.csv / .json — the record-level dataset (NEW in v1.2): all 7,951 deduplicated farmers markets with name, address, city/state/ZIP, coordinates, phone, website, social links, season, products, description, and attribute flags (SNAP/EBT, certified-organic, CSA vendor, indoor, delivery, payments). The JSON variant wraps the same records in a metadata header (license, DOI, generation date, count).
  • us-farmers-markets-by-state-2026.csv — one row per state: counts of farmers markets, CSA programs, and farm stands, plus SNAP/EBT (11.4% nationally), certified-organic (13.2%), and working-website (42.9%) shares.
  • datapackage.json — Frictionless Data Package descriptor + field schemas.

What "cleaned" means

The raw USDA feed is rough: ~40-char truncated names, stale records, a state= filter that substring-matches state names (querying "WA" returns Delaware rows), and thousands of missing websites. This dataset is deduplicated to actual farmers markets (registry twins and vendor-class records that were single-farm stands or retail grocers are removed — see Versions), website coverage is backfilled from the live API + state sources to 42.9%, and dead website URLs are stripped.

Record-level field policy: scraped third-party content (descriptions/images from market websites) and personal contact names/emails are excluded — only USDA-derived fields, our website/social backfill, and attribute flags ship in the redistributable.

Versions

  • v1.3 (2026-07-22): national de-duplication — count moved 8,863 → 7,951. Removed 512 registry twins (a 2023 USDA re-registration wave re-filed markets under new IDs without retiring the old rows) and 400 vendor-class records (individual farms/produce stands mis-filed as markets). An initial name-based pass mis-flagged ~30% of suspects (178 of 596 were genuine markets, incl. California's entire CDFA roster), so every removal was re-checked against the relevant state Department of Agriculture registry. Per-state and record-level files, plus all derived shares, are recomputed. Methodology: https://harvestlymarkets.com/data-sources/#deduplication
  • v1.2 (2026-07-14): record-level dataset added (CSV + JSON, 8,863 markets).
  • v1.1 (2026-07-07): website-coverage correction — a USDA live-API state-filter bug had left 9 states without enrichment data, understating markets_with_website; per-state website_pct is now accurate (national ~50%).
  • v1.0: initial state-level release.

Source & license

Derived from the USDA AMS Local Food Portal (public data). Published under CC BY 4.0 — free to reuse, share, and adapt with attribution. Archived, citable version: DOI 10.5281/zenodo.21138301 (concept DOI — always resolves to the latest version).

Attribution: Harvestly Markets — US Farmers Markets 2026 (CC BY 4.0), derived from USDA AMS Local Food Portal. https://harvestlymarkets.com/data-sources/

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