Card: clarify collection limits, profile masking, removal contact and pinned examples

README.md

@@ -59,7 +59,7 @@ resources such as GH Archive.
 
 ```python
 import duckdb
-base = "hf://datasets/NaiveNeuron/github-stars-in-context"
+base = "hf://datasets/NaiveNeuron/github-stars-in-context@v1.1.0"
 print(duckdb.sql(f"""
 SELECT count(*) FILTER (WHERE r.stars >= 10) AS kept, count(*) AS total
 FROM '{base}/repositories.parquet' r
@@ -69,10 +69,10 @@ WHERE u.retrieval_status = 'complete'
 # [(1560798, 53987867)]
 ```
 
-Or download everything (1.6 GB):
+Or download everything (1.57 GiB). This needs the Hugging Face CLI:
 
 ```sh
-hf download NaiveNeuron/github-stars-in-context --repo-type dataset --local-dir data
+hf download NaiveNeuron/github-stars-in-context --repo-type dataset --revision v1.1.0 --local-dir data
 (cd data && shasum -a 256 -c PARQUET-SHA256SUMS)
 ```
 
@@ -82,27 +82,34 @@ hf download NaiveNeuron/github-stars-in-context --repo-type dataset --local-dir
   search, split by follower count (1–9 up to 10,000+) and registration date
   to stay under the 1,000-result search limit. Organizations are excluded.
   Accounts with no followers were not searched
-- **Repositories** were fetched per account from December 2025 to early
-  January 2026: owned, public, non-fork, with full pagination. Archived
-  repositories are included
+- **Repositories** were fetched per account from about December 2025 to
+  early January 2026, by the collector author's estimate. The query selects
+  owned, public, non-fork repositories, including archived ones, and follows
+  pagination. Per-request times were not stored
 - **Follower counts** were fetched from 28 January to 2 February 2026
 
 ## What to know before using it
 
-- **Not a random sample of GitHub.** Accounts have at least one follower, and
-  search cells that still exceeded 1,000 results on a single registration day
-  were skipped. These are concentrated among accounts with few followers
+- **Not a random sample of GitHub.** Discovery searched for accounts with at
+  least one follower. Follower counts fetched later can be zero (1,719
+  accounts). Search cells that still exceeded 1,000 results on a single
+  registration day were skipped, and a failed search request could drop a
+  cell. The number of missed accounts is unknown
 - **Retrieval status.** `retrieval_status` is `complete` for 3,615,479
   accounts (372,821 of them own no stored repository), `failed` for 56,012
   and `unknown` for 6. The classes are derived from the collector's logic.
   They are not an independent check against GitHub
 - **Missing follower counts.** `profile_available` is false for 1,151,092
-  accounts whose profile fields were not obtained. Their `followers_count` is
-  NULL. In a sample of 300 such accounts checked in November 2026, 298 still
-  existed and 296 had followers, so the stored zeros are not real counts.
+  accounts whose profile fields are missing or ambiguous. Their
+  `followers_count` is NULL. The rule masks NULL biographies and profiles
+  with only default values, which can include genuinely empty profiles. In a
+  sample of 300 such accounts of the complete class checked on 10 November
+  2026, 298 still existed and 296 had followers. This supports treating the
+  stored zeros as missing, but it does not show their values in January 2026.
   The raw stored value is kept in `followers_count_raw` and must not be read
-  as zero followers
-- **One snapshot.** Star counts are as of retrieval. Per-request times were
+  as zero followers. Follower analyses cover only the accounts with available
+  profiles, measured after the repositories
+- **Historical observations.** Star counts are as of retrieval. Per-request times were
   not stored, so this is not a star history
 - **Repository IDs are not unique keys.** Twenty repository IDs appear under
   more than one account
@@ -112,15 +119,22 @@ hf download NaiveNeuron/github-stars-in-context --repo-type dataset --local-dir
 ## Personal data
 
 The dataset contains only fields that were public on GitHub: account logins
-and numeric IDs, repository names, creation times and star counts. Biographies,
-company, location and external links were collected but are **not** included.
-If you want your account removed, open an issue in the code repository.
+and numeric IDs, repository names, creation times and star counts. Logins and
+numeric IDs can identify people. Numeric IDs are needed to join the tables to
+other datasets, and logins allow lookup by name. Biographies, company,
+location and external links were collected but are **not** included.
+
+To have an account removed, write to marek@suppa.sk or open an issue in the
+code repository. Please do not post personal documents in a public issue. We
+remove the account's rows from all three tables in a new release. Copies that
+others have already downloaded cannot be recalled.
 
 ## Licence
 
 The data are released under
-[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). The code is
-MIT-licensed.
+[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). The licence
+covers the rights the authors hold in the compilation. It does not grant
+rights held by GitHub users or other third parties. The code is MIT-licensed.
 
 ## Versions
 
@@ -142,6 +156,7 @@ please cite this dataset page:
   author = {Pavlov, Mykhailo and {\v{S}}uppa, Marek},
   title  = {{GitHub} Stars in Context: A Dataset of Repository Popularity Across Accounts},
   year   = {2026},
+  version = {1.1.0},
   howpublished = {\url{https://huggingface.co/datasets/NaiveNeuron/github-stars-in-context}}
 }
 ```