The dataset viewer is not available for this split.
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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.
- Registry page: https://endmyopia.org/myopia-improvement-registry/
- Zenodo record (v2.0): https://zenodo.org/records/21270702
- Preprint (v1.0 snapshot): DOI 10.5281/zenodo.21230819
- Author ORCID: 0009-0004-6064-135X · Wikidata: Q140453626
- License: Creative Commons Attribution 4.0 (CC BY 4.0)
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 = Trueflags the 19 non-analysis rows)em-case-registry-v2.0.json— same data, JSON recordsem-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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