Daily build 2026-08-20

README.md

@@ -39,8 +39,8 @@ configs:
 # Polymarket Order Book Dataset
 
 Order-book snapshots from a prediction market, collected continuously between
-**2026-07-10** and **2026-08-18**: `272,543,676` quote observations across
-`171,656` markets, plus settlement outcomes and a separate high-frequency feed
+**2026-07-10** and **2026-08-19**: `281,268,633` quote observations across
+`172,036` markets, plus settlement outcomes and a separate high-frequency feed
 that records actual traded prices.
 
 It is published so other people can build and train on it without first spending
@@ -72,16 +72,16 @@ import duckdb
 duckdb.sql("SELECT * FROM 'polymarket-data/quotes/**/*.parquet' LIMIT 5").show()
 ```
 
-**GitHub Releases** (a single dated tarball, ~146 MB):
+**GitHub Releases** (a single dated tarball, ~149 MB):
 
 ```bash
-gh release download data-2026-08-19 --repo DineshKumar8399/polymarket-orderbook-dataset
+gh release download data-2026-08-20 --repo DineshKumar8399/polymarket-orderbook-dataset
 tar --zstd -xf polymarket-orderbook-*.tar.zst
 ```
 
-Each release is a frozen snapshot, so `data-2026-08-19` is reproducible: cite the
+Each release is a frozen snapshot, so `data-2026-08-20` is reproducible: cite the
 tag and anyone can reconstruct the exact data you trained on. Latest build:
-**2026-08-19**.
+**2026-08-20**.
 
 ---
 
@@ -89,13 +89,13 @@ tag and anyone can reconstruct the exact data you trained on. Latest build:
 
 | File | Rows | What it is |
 |---|---|---|
-| `quotes/dt=YYYY-MM-DD/*.parquet` | `272,543,676` | Book quotes for every tracked market, partitioned by date |
-| `markets.parquet` | `171,656` | One row per market: question text, category, coverage |
-| `labels.parquet` | `145,592` | Binary settlement outcomes, with a `source` column |
-| `watch_quotes.parquet` | `1,641,879` | High-frequency feed — **the only table with traded prices** |
+| `quotes/dt=YYYY-MM-DD/*.parquet` | `281,268,633` | Book quotes for every tracked market, partitioned by date |
+| `markets.parquet` | `172,036` | One row per market: question text, category, coverage |
+| `labels.parquet` | `146,022` | Binary settlement outcomes, with a `source` column |
+| `watch_quotes.parquet` | `1,691,703` | High-frequency feed — **the only table with traded prices** |
 | `data_quality.parquet` | 7 | The known issues below, as queryable rows |
 
-Total: about `146 MB` of ZSTD-compressed Parquet.
+Total: about `149 MB` of ZSTD-compressed Parquet.
 
 ---
 
@@ -174,7 +174,7 @@ also the cost per unit of payoff.
 | `first_ts` / `last_ts` | timestamp | Coverage window |
 
 `question` is stored here rather than on every quote row — repeating it
-`272,543,676` times is most of why the raw CSV was 32 GB.
+`281,268,633` times is most of why the raw CSV was 32 GB.
 
 ### `labels.parquet`
 
@@ -252,7 +252,7 @@ has been **dropped rather than shipped as an empty column named `last`**.
 
 If your question is "did this actually transact" — fill realism, execution
 modelling, print-versus-quote — it is only answerable on `watch_quotes`, which
-covers 4,922 markets rather than 171,656. Note `last_traded` is itself 85.6%
+covers 5,022 markets rather than 172,036. Note `last_traded` is itself 85.6%
 populated, not 100%.
 
 ### 4. Crossed books
@@ -264,8 +264,8 @@ your method is sensitive to it.
 ### 5. Labels are time-censored
 
 Most `source = 'api'` labels come from a one-off backfill run on 2026-07-23/24.
-So "has a label" correlates strongly with "settled before Jul 24" — 94,337
-markets (55%) carry an authoritative label, and they are **not a random 55%**.
+So "has a label" correlates strongly with "settled before Jul 24" — 110,173
+markets (64%) carry an authoritative label, and they are **not a random 64%**.
 
 This bites hardest on walk-forward validation: naively splitting train/test on a
 late date can leave you with an empty test set and a script that reports success
@@ -299,7 +299,7 @@ Markets by category:
 
 ```
    category  slugs
-     sports 167894
+     sports 168274
    politics   1443
     climate    977
     culture    936

labels.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ad879caf75bcb682e00e2264241decfd011e57a93474ca64a2900edf65b428e4
-size 603240
+oid sha256:30be238717379fdf10310f16c8ff9bc06b382971138d7c088110a65dd11923fb
+size 605252

markets.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:583959ffee1afd386260308798c53a05cd05462641fee78e54f0338d1cea6213
-size 2304868
+oid sha256:1db2af5a7bd5773b073099cf16d15100eddb6c34ab0c407ccfa99cd3ba882682
+size 2311618

quotes/dt=2026-08-19/data_0.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e67a8eba5717ddbafb4fc906236d98169f79a7ae4f8908dd8e8cd6a700f3f583
+size 3469140

watch_quotes.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e32e806ec61c4840fec60b56f20f12a57d4fb265db5101ed48610f123deb72ad
-size 5350477
+oid sha256:91867f44948a6d8316514a800983553faa589c1d59d99544255941747bc60043
+size 5541456