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README.md

@@ -31,13 +31,16 @@ training job reads directly. Built from 16 of 186 parts.
 
 | directory | clips | GOPs | filter |
 |---|---:|---:|---|
-| `openvid-head/` | 14024 | 41662 | static, low motion, >= 1 s, **and** a talking-head caption |
-| `openvid-general/` | 33189 | 98272 | static, low motion, >= 1 s, and **not** the above |
+| `openvid-head/` | 10060 | 29689 | static, low motion, >= 1 s, **and** a talking-head caption |
+| `openvid-nonperson/` | 38281 | 78593 | static, low motion, >= 1 s, and **no person mentioned at all** |
 
-The two are **disjoint**, deliberately. Shipping them apart is only
-useful if a training run can set the mixing ratio, and it cannot do
-that when the general split already contains the head clips at
-whatever rate the corpus happens to have.
+They are disjoint, and a large middle is **dropped rather than
+assigned**: clips whose caption mentions a person but does not describe
+a talking head go into neither split. That is what makes the contrast
+real. An earlier version of this dataset had only "head" and
+"everything else", and "everything else" was 86% people -- 61% of it
+mentioning `wearing`, 26% `hair`, 19% `face` -- so a sweep across the
+two ran from roughly 86% head to 100% head rather than 0% to 100%.
 
 Talking-head captions match:
 
@@ -79,7 +82,10 @@ Letterbox bars are detected and removed before the crop.
   corpus; nothing here is at OpenVid's original quality.
 - The filter is metadata-driven. `camera motion` and `motion score`
   are OpenVid's own annotations and inherit their errors.
-- Captions are matched by substring, so the talking-head subset
-  contains what a caption *says*, not what a detector found.
+- Captions are matched by regular expression, so both splits contain
+  what a caption *says*, not what a detector found. The non-person
+  split in particular is "no person was mentioned", which is not the
+  same as "no person is visible" -- expect some contamination, and
+  check the pictures rather than trusting the label.
 
 Built by [`scripts/prepare_openvid_job.py`](https://github.com/arodland/HFTV).