Remove top-level v1/v2 after moving to legacy/

v1/v1_DATA_DESCRIPTION.md

@@ -1,77 +0,0 @@
-# UserModeling Dataset — v1 Data Description
-
-This repository contains raw data and three benchmark tracks for user modeling on market stance prediction.
-
-## 1) Raw source
-
-- `raw/data_v1.parquet`
-  - Canonical raw source file for v1.
-  - Includes wallet-level market history with block-range fields.
-
-## 2) v1 benchmark tracks
-
-### A. Direct track
-- Path: `v1_direct/benchmark_core_direct/`
-- Files:
-  - `train.parquet`
-  - `validation.parquet`
-  - `test.parquet`
-- Purpose:
-  - Single-step prediction from user history to target market.
-
-### B. ProfileGen (LLM) track
-- Path: `v1_profilegen/benchmark_profilegen/`
-- Files:
-  - `train.parquet`
-  - `validation.parquet`
-  - `test.parquet`
-- Purpose:
-  - Two-step process:
-    1) generate user profile with LLM
-    2) predict target market choice/confidence using generated profile
-
-### C. RetrievalGen support set
-- Path: `v1_retrievalgen/support_set/`
-- Files:
-  - `support.parquet`
-  - `wallet_ids_support.txt`
-  - `support_spec.md`
-  - `support_manifest.json`
-- Purpose:
-  - Support pool for retrieval-based two-step methods.
-  - Constructed by excluding the 2000 experiment wallets.
-
-## 3) Target task definition (shared by Direct/ProfileGen/RetrievalGen)
-
-For each target market sample, predict:
-- `choice`
-- `confidence`
-
-So DirectGen and RetrievalGen share the same end task, with different input pipelines.
-
-## 4) Time / block fields
-
-Block-range fields are preserved in v1 assets:
-- `stance_first_block`
-- `stance_last_block`
-
-These fields can be used to enforce time-aware filtering (e.g., no-future retrieval).
-
-## 5) Split and wallet metadata
-
-See split files under each track (`splits/`) for exact split config and wallet lists.
-
-## 6) Minimal loading example (Python)
-
-```python
-import pyarrow.parquet as pq
-
-train = pq.read_table('v1_direct/benchmark_core_direct/train.parquet')
-print(train.num_rows, train.column_names)
-
-profile_test = pq.read_table('v1_profilegen/benchmark_profilegen/test.parquet')
-print(profile_test.num_rows)
-
-support = pq.read_table('v1_retrievalgen/support_set/support.parquet')
-print(support.num_rows)
-```