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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:    CastError
Message:      Couldn't cast
case_id: string
verification_class: string
start_numbers: string
end_numbers: string
start_dpt: string
end_dpt: string
delta_dpt: string
timeline_months: string
timeline_basis: string
rate_d_yr_12mo_plus: string
member_status: string
first_post: timestamp[s]
last_post: timestamp[s]
n_posts: string
excluded: string
exclusion_reason: string
source_posts: string
meta: struct<version: string, generated: timestamp[s], cases_total: int64, cases_included: int64, cases_ex (... 251 chars omitted)
  child 0, version: string
  child 1, generated: timestamp[s]
  child 2, cases_total: int64
  child 3, cases_included: int64
  child 4, cases_excluded: int64
  child 5, cases_class_1_2_verified_signal: int64
  child 6, cases_class_1_2_3_with_delta: int64
  child 7, total_documented_improvement_D: double
  child 8, median_delta_D: double
  child 9, rates_n_12mo_plus: int64
  child 10, median_rate_d_yr_12mo_plus: double
  child 11, date_range: string
  child 12, note: string
cases: list<item: struct<first_post: timestamp[s], last_post: timestamp[s], n_posts: int64, verification_cl (... 392 chars omitted)
  child 0, item: struct<first_post: timestamp[s], last_post: timestamp[s], n_posts: int64, verification_class: string (... 380 chars omitted)
      child 0, first_post: timestamp[s]
      child 1, last_post: timestamp[s]
      child 2, n_posts: int64
      child 3, verification_class: string
      child 4, class_rank: int64
      child 5, start_numbers: string
      child 6, end_numbers: string
      child 7, start_dpt: double
      child 8, end_dpt: double
      child 9, delta_dpt: double
      child 10, timeline_months: double
      child 11, timeline_basis: string
      child 12, rate_d_yr_12mo_plus: double
      child 13, member_status: string
      child 14, is_child_case: bool
      child 15, post_lasik: bool
      child 16, excluded: bool
      child 17, exclusion_reason: string
      child 18, source_posts: list<item: string>
          child 0, item: string
      child 19, verification_quote: string
      child 20, case_id: string
to
{'meta': {'version': Value('string'), 'generated': Value('timestamp[s]'), 'cases_total': Value('int64'), 'cases_included': Value('int64'), 'cases_excluded': Value('int64'), 'cases_class_1_2_verified_signal': Value('int64'), 'cases_class_1_2_3_with_delta': Value('int64'), 'total_documented_improvement_D': Value('float64'), 'median_delta_D': Value('float64'), 'rates_n_12mo_plus': Value('int64'), 'median_rate_d_yr_12mo_plus': Value('float64'), 'date_range': Value('string'), 'note': Value('string')}, 'cases': List({'first_post': Value('timestamp[s]'), 'last_post': Value('timestamp[s]'), 'n_posts': Value('int64'), 'verification_class': Value('string'), 'class_rank': Value('int64'), 'start_numbers': Value('string'), 'end_numbers': Value('string'), 'start_dpt': Value('float64'), 'end_dpt': Value('float64'), 'delta_dpt': Value('float64'), 'timeline_months': Value('float64'), 'timeline_basis': Value('string'), 'rate_d_yr_12mo_plus': Value('float64'), 'member_status': Value('string'), 'is_child_case': Value('bool'), 'post_lasik': Value('bool'), 'excluded': Value('bool'), 'exclusion_reason': Value('string'), 'source_posts': List(Value('string')), 'verification_quote': Value('string'), 'case_id': Value('string')})}
because column names don't match
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 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              case_id: string
              verification_class: string
              start_numbers: string
              end_numbers: string
              start_dpt: string
              end_dpt: string
              delta_dpt: string
              timeline_months: string
              timeline_basis: string
              rate_d_yr_12mo_plus: string
              member_status: string
              first_post: timestamp[s]
              last_post: timestamp[s]
              n_posts: string
              excluded: string
              exclusion_reason: string
              source_posts: string
              meta: struct<version: string, generated: timestamp[s], cases_total: int64, cases_included: int64, cases_ex (... 251 chars omitted)
                child 0, version: string
                child 1, generated: timestamp[s]
                child 2, cases_total: int64
                child 3, cases_included: int64
                child 4, cases_excluded: int64
                child 5, cases_class_1_2_verified_signal: int64
                child 6, cases_class_1_2_3_with_delta: int64
                child 7, total_documented_improvement_D: double
                child 8, median_delta_D: double
                child 9, rates_n_12mo_plus: int64
                child 10, median_rate_d_yr_12mo_plus: double
                child 11, date_range: string
                child 12, note: string
              cases: list<item: struct<first_post: timestamp[s], last_post: timestamp[s], n_posts: int64, verification_cl (... 392 chars omitted)
                child 0, item: struct<first_post: timestamp[s], last_post: timestamp[s], n_posts: int64, verification_class: string (... 380 chars omitted)
                    child 0, first_post: timestamp[s]
                    child 1, last_post: timestamp[s]
                    child 2, n_posts: int64
                    child 3, verification_class: string
                    child 4, class_rank: int64
                    child 5, start_numbers: string
                    child 6, end_numbers: string
                    child 7, start_dpt: double
                    child 8, end_dpt: double
                    child 9, delta_dpt: double
                    child 10, timeline_months: double
                    child 11, timeline_basis: string
                    child 12, rate_d_yr_12mo_plus: double
                    child 13, member_status: string
                    child 14, is_child_case: bool
                    child 15, post_lasik: bool
                    child 16, excluded: bool
                    child 17, exclusion_reason: string
                    child 18, source_posts: list<item: string>
                        child 0, item: string
                    child 19, verification_quote: string
                    child 20, case_id: string
              to
              {'meta': {'version': Value('string'), 'generated': Value('timestamp[s]'), 'cases_total': Value('int64'), 'cases_included': Value('int64'), 'cases_excluded': Value('int64'), 'cases_class_1_2_verified_signal': Value('int64'), 'cases_class_1_2_3_with_delta': Value('int64'), 'total_documented_improvement_D': Value('float64'), 'median_delta_D': Value('float64'), 'rates_n_12mo_plus': Value('int64'), 'median_rate_d_yr_12mo_plus': Value('float64'), 'date_range': Value('string'), 'note': Value('string')}, 'cases': List({'first_post': Value('timestamp[s]'), 'last_post': Value('timestamp[s]'), 'n_posts': Value('int64'), 'verification_class': Value('string'), 'class_rank': Value('int64'), 'start_numbers': Value('string'), 'end_numbers': Value('string'), 'start_dpt': Value('float64'), 'end_dpt': Value('float64'), 'delta_dpt': Value('float64'), 'timeline_months': Value('float64'), 'timeline_basis': Value('string'), 'rate_d_yr_12mo_plus': Value('float64'), 'member_status': Value('string'), 'is_child_case': Value('bool'), 'post_lasik': Value('bool'), 'excluded': Value('bool'), 'exclusion_reason': Value('string'), 'source_posts': List(Value('string')), 'verification_quote': Value('string'), 'case_id': Value('string')})}
              because column names don't match

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EndMyopia Case Report Registry (v2.0)

An open, structured registry of 344 self-reported adult myopia-reduction case reports (363 cases indexed; 19 excluded from the adult analysis set), drawn from 423 first-person accounts published on endmyopia.org, 2013–2026.

Canonical version — cite this: DOI 10.5281/zenodo.21016339 (concept DOI, always resolves to the latest version). This Hugging Face copy mirrors that deposit; the Zenodo DOI is the citable record of reference.

What this is

A transparent, auditable index of individual adult cases reporting reduction in myopia (nearsightedness), each graded by how well it is corroborated. It exists so the individual-level data can be examined on its merits.

What it is not: a clinical trial, and not a population success rate. The cohort is self-selected and predominantly self-reported. It cannot establish how often the approach works; it documents that individual, measured reductions are on record, with the limitations stated up front.

Scope note: this registry covers the self-reported slice, people who published their own results, largely self-directed on the freely available method. It deliberately excludes the larger program-participant dataset, which is held separately. Treat these figures as a conservative floor rather than a program outcome rate.

Summary figures

Registry-wide (all 363 cases): 423 published reports, 554.3 D total documented reduction, 61 cases carrying a third-party or official-record signal, median rate 1.25 D/yr among cases with a ≥ 12-month window (n = 84).

Adult analysis set (n = 344):

  • Median starting myopia: −5.00 D (range −0.75 to −13.75; n = 282)
  • Median recorded reduction: −1.75 D (n = 257; maximum −12.75)
  • Externally corroborated (third-party exam or official record): 58 / 344 (17%)
  • Reduction rate, cases with a ≥ 12-month window: median 1.25 D/yr (IQR 0.63–2.00; n = 80)

Every figure above is reproducible from em-case-registry-v2.0.csv with one method: rate = delta_dpt / (timeline_months / 12), gated to windows of 12 months or more.

Verification classes (adult analysis set)

class n
official record (e.g. driving-license vision record) 12
third-party exam reported 46
dated self-measurements 95
published report, no numbers 51
numbers, method unclear 140

Files

  • em-case-registry-v2.0.csv — the current registry (363 rows; excluded = True flags the 19 non-analysis rows)
  • em-case-registry-v2.0.json — same data, JSON records
  • em-case-registry-v1.0.csv / .json — the superseded v1.0 release, kept for reproducibility of the preprint

Version history

  • v1.0 (2026-06-10) — initial release from the 2013–2026 published-report archive: 466 reports, 289 cases, verification-classed and person-merged.
  • v2.0 (2026-07-09) — added 74 self-reported cases documented since v1.0 (three child cases excluded from the adult set, two duplicates merged). 423 reports, 363 cases, 344 in the adult analysis set. Headline figures were recomputed from the file, which moved several numbers off their v1 values; the third-party count changed partly by definition, from a stricter manual review in v1 to a reproducible verification-class count in v2.

Data dictionary

column meaning
case_id stable case identifier (EM-####)
verification_class strength of corroboration (see table above)
start_numbers / end_numbers refraction as stated in the source report
start_dpt / end_dpt starting / latest myopia magnitude, diopters (worse-eye sphere)
delta_dpt recorded reduction, diopters
timeline_months reported time window
timeline_basis how the window was derived
rate_d_yr_12mo_plus annualized rate, populated only for ≥ 12-month windows
member_status reporter's relationship to the program
first_post / last_post dates of the source post(s)
n_posts number of source posts consolidated into the case
excluded / exclusion_reason analysis-exclusion flag + reason (child case / post-LASIK / pending verification)
source_posts link(s) to the original published report(s)

Privacy

All cases derive from reports the participants published publicly. Direct given-name identifiers have been removed from this distribution; individuals may remain inferable from the cited source posts, which are retained for verification. Removal requests: jake@endmyopia.org.

Background

The eye regulates its own axial growth in response to optical defocus, and clinical myopia-control research shows that growth can be slowed in children. Sustained reversal of established adult myopia is not established in the controlled literature, but a flat "impossible" overstates what that literature supports. This registry organizes the otherwise scattered individual reports into one auditable resource, with the numbers and the limitations both on the table.

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