Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- alias_vocab.json +122 -0
- dataset_info.json +91 -0
- train.jsonl +3 -0
- val.jsonl +0 -0
.gitattributes
CHANGED
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@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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train.jsonl filter=lfs diff=lfs merge=lfs -text
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alias_vocab.json
ADDED
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@@ -0,0 +1,122 @@
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[
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{
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"alias": "bev",
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"table": "staff",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "cif",
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"table": "items",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "dov",
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"table": "regions",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "fal",
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"table": "tasks",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "gev",
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"table": "employees",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "hac",
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"table": "customers",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "jac",
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"table": "sales",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "kab",
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"table": "schedules",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "lex",
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"table": "shipments",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "nad",
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"table": "invoices",
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"token_group": "T1",
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"fan_out": 1
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},
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{
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"alias": "agov",
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"table": "categories",
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"token_group": "T2",
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"fan_out": 95
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},
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{
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"alias": "egiv",
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"table": "projects",
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"token_group": "T2",
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"fan_out": 80
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},
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{
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"alias": "ejof",
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"table": "transactions",
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"token_group": "T2",
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"fan_out": 70
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},
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{
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"alias": "ikob",
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"table": "managers",
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"token_group": "T2",
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"fan_out": 60
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},
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{
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"alias": "okiv",
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"table": "departments",
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"token_group": "T2",
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"fan_out": 55
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},
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{
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"alias": "uliv",
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"table": "orders",
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"token_group": "T2",
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"fan_out": 65
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},
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{
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"alias": "vmob",
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"table": "requests",
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"token_group": "T2",
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"fan_out": 50
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},
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{
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"alias": "vnob",
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"table": "branches",
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"token_group": "T2",
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"fan_out": 45
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},
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{
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"alias": "xnob",
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"table": "products",
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"token_group": "T2",
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"fan_out": 40
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},
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{
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"alias": "znob",
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"table": "accounts",
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"token_group": "T2",
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"fan_out": 35
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}
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]
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dataset_info.json
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{
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"name": "cs9-rand-v1",
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"condition": "rand",
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"version": "v1",
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"description": "CS9 rand-mapping condition v1. All 20 aliases are invented strings with zero surface relation to any table name (no shared 2/3/4-char prefix, no substring match). Fixes the cs8 abbreviation confound. T1: 3-char single-token (rare-word tokens, fid 22k-95k). T2: 4-char two-token with 2+2 BPE split (2-char first tokens, fid 933-54k).",
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"motivation": "CS8 aliases (cust, dept, emp, etc.) are common SQL abbreviations of their assigned table names. A surface-matching heuristic can predict them without any learned commitment, inflating the rand model's geometry silhouette above zero. CS9 aliases have no such relation.",
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"alias_groups": {
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"T1": [
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"bev",
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"cif",
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"dov",
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"fal",
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"gev",
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"hac",
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"jac",
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"kab",
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"lex",
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"nad"
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],
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"T2": [
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"agov",
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"egiv",
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"ejof",
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"ikob",
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"okiv",
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"uliv",
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"vmob",
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"vnob",
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"xnob",
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"znob"
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]
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},
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"table_alias_map": {
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"accounts": "znob",
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"customers": "hac",
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"departments": "okiv",
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"employees": "gev",
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"invoices": "nad",
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"managers": "ikob",
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"orders": "uliv",
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"products": "xnob",
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"sales": "jac",
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"transactions": "ejof",
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"branches": "vnob",
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"categories": "agov",
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"items": "cif",
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"projects": "egiv",
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"regions": "dov",
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"requests": "vmob",
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"schedules": "kab",
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"shipments": "lex",
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"staff": "bev",
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"tasks": "fal"
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},
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"fan_out_by_alias": {
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"bev": 1,
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"cif": 1,
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"dov": 1,
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"fal": 1,
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"gev": 1,
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"hac": 1,
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"jac": 1,
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"kab": 1,
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"lex": 1,
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"nad": 1,
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"agov": 95,
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"egiv": 80,
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"ejof": 70,
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"ikob": 60,
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"okiv": 55,
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"uliv": 65,
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"vmob": 50,
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"vnob": 45,
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"xnob": 40,
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"znob": 35
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},
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"split_sizes": {
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"train": 19200,
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"val": 4800
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},
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"examples_per_alias": {
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"train": 960,
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"val": 240
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},
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"generation": {
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| 86 |
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"seed": 42,
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"mode": "rand",
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"generated_at": "2026-06-04T12:42:51.478645",
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"script": "src/00_data/generate_cs9_v1.py"
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}
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}
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train.jsonl
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc2e72bfb331c00187c0c24eb4fdf3d036d39de1f91416e317690f03d36db8c7
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size 13314300
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val.jsonl
ADDED
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The diff for this file is too large to render.
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