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docs/stimulus_types.md

@@ -7,15 +7,15 @@ VIPBench contains 9,800 voice pairs in **6 stimulus types**, designed to span th
 | Type | Description | Metadata label | Pair count | P(same) shape |
 |---|---|---|---|---|
 | 1 | Same recording (reference compared with itself, segmented differently) | Same | 100 | concentrated near 1.0 |
-| 2 | Same speaker, different recording | Same | 500 | high but spread |
-| 3 | Same speaker, AI voice clone | Same | 500 | spreads across full range (clones with metadata-same label) |
-| 4 | Different speakers, real recordings | Different | 500 | concentrated near 0.0 |
-| 5 | Different speakers, AI voice clones | Different | 100 | concentrated near 0.0 |
+| 2 | Same speaker, different recording | Same | 400 | high but spread |
+| 3 | Same speaker, AI voice clone | Same | 400 | spreads across full range (clones with metadata-same label) |
+| 4 | Different speakers, real recordings | Different | 400 | concentrated near 0.0 |
+| 5 | Different speakers, AI voice clones | Different | 400 | concentrated near 0.0 |
 | 6 | Continuously morphed voices | (no clean metadata label) | 8,100 | sweeps full range across the morph trajectory |
 
-Total: **9,800 pairs**, of which 6,100 carry a clean metadata same/different label (Types 1-5) and 8,100 are morph trajectories.
+Total: **9,800 pairs**, of which 1,700 carry a clean metadata same/different label (Types 1-5) and 8,100 are morph trajectories.
 
-Note: Type 6 pair count of 8,100 reflects 100 morph-trajectory cells, each sampled at 81 levels of interpolation; see `data/stimuli_interpol.csv` for trajectory metadata.
+Note: Type 6's 8,100 pairs are 81 stimuli per reference speaker x 100 reference speakers. The 81 stimuli per reference speaker decompose as 4 within-group comparison speakers (matched on sociophonetic group, age group, and gender) x 2 distinct recordings per comparison x 10 morph scales between 0 and 1, plus 1 shared anchor at scale 1 (4 x 2 x 10 + 1 = 81). Per-stimulus trajectory metadata is in `data/stimuli_interpol.csv`.
 
 ## Naming convention
 
@@ -23,17 +23,17 @@ Stimulus IDs in `data/stimuli.csv` and the audio filenames in `data/audio/compar
 
 - **Types 1-5:** `<type>_<reference_speaker>` for type-1 same-recording pairs; `<type>_<reference_speaker><variant>` where the comparison clip varies across A-E for types 2-5.
   - Examples: `1_M01.wav` (Type 1, M01), `2_M01B.wav` (Type 2, M01 with variant B), `4_F03_F09B.wav` (Type 4, reference F03 paired with F09 variant B).
-- **Type 6 morphs:** `6_<source>_<target>_<scale>.wav` where `<scale>` is an integer in [0, 100] indicating the interpolation point.
+- **Type 6 morphs:** `6_<source_speaker><variant>_<target_speaker><variant>_<scale>.wav` where the variant letter (A-E) identifies the seed clip used for each speaker and `<scale>` is the interpolation level. Example: `6_M05A_M03A_065.wav` is a morph between M05's clip A and M03's clip A at scale 65.
 
 The stimulus ID matches the comparison-audio basename (without `.wav`) and is the key into the embedding `.npz` files.
 
 ## Voice cloning
 
-Voice clones (Types 3 and 5) were generated with a state-of-the-art TTS system from a short reference clip per speaker. The clone shares the metadata identity of the source speaker by construction; whether listeners hear the clone as that speaker is the per-pair question that the benchmark measures via `P(same)`.
+Voice clones (Types 3 and 5) were generated with Cartesia (a state-of-the-art TTS system) seeded from a natural source clip of the speaker being cloned. The variant letter in the stimulus ID identifies the seed: a Type 3 clone shares its seed clip with the comparison clip of the matched Type 2 pair, and a Type 5 clone shares its seed with the matched Type 4 pair. For example, `3_F01B` is seeded from the same F01B source clip that appears as the comparison in `2_F01B`; `5_M01_F09B` is seeded from the same F09B source clip that appears as the comparison in `4_M01_F09B`. The reference clip itself was not used as the seed. The clone shares the metadata identity of the source speaker by construction; whether listeners hear the clone as that speaker is the per-pair question that the benchmark measures via `P(same)`.
 
 ## Voice morphing
 
-Type 6 pairs are continuously morphed by interpolating a voice-conversion latent between two source speakers at 81 levels per pair. Morphs have no clean metadata speaker label: at scale 0 the audio matches one speaker, at scale 100 the other, and intermediate scales sweep a perceptual continuum. This is the largest category in the dataset (8,100 of 9,800 pairs) and is designed to probe identity perception at fine resolution. The corresponding trajectory metadata (source speakers, scale value) is in `data/stimuli_interpol.csv`.
+Type 6 pairs were generated using the voice-morphing feature of the same Cartesia TTS system, interpolating the latent voice representation of the reference speaker toward each of 4 within-group comparison speakers (matched on sociophonetic group, age group, and gender). For each reference speaker x comparison speaker x recording (2 distinct recordings per comparison speaker), 10 morph scales between 0 and 1 were sampled, plus 1 shared anchor at scale 1. Per reference speaker: 4 x 2 x 10 + 1 = 81 stimuli, totaling 8,100 across 100 reference speakers. Stimulus IDs encode the two endpoints and the scale (e.g., `6_M05A_M03A_065` = morph between M05 and M03 with seed recordings A from each, at scale 65). Morphs have no clean metadata speaker label: at scale 0 the audio matches one speaker, at scale 100 the other, and intermediate scales sweep a perceptual continuum. This is the largest category in the dataset (8,100 of 9,800 pairs) and is designed to probe identity perception at fine resolution. Per-stimulus trajectory metadata (source speakers, recording variants, scale) is in `data/stimuli_interpol.csv`.
 
 ## Why this design