Extend autonomous and input-required to fifty Hard tasks

hard/data-source.json

@@ -1,23 +1,23 @@
 {
   "schema": "programvla/dataset-source/1",
   "dataset": "RLE-Bench/programmable-vla",
-  "revision": "5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad",
-  "evidence_root": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad/",
+  "revision": "eeadca998274456edfddcb9d72d93f0bcf33582f",
+  "evidence_root": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/eeadca998274456edfddcb9d72d93f0bcf33582f/",
   "files": {
     "data.json": {
-      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad/research/hard50-expansion-20261105/panels/hard/data.json"
+      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/eeadca998274456edfddcb9d72d93f0bcf33582f/research/hard50-expansion-20261105/panels/hard/data.json"
     },
     "cost-data.json": {
-      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad/research/hard50-expansion-20261105/panels/hard/cost-data.json"
+      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/eeadca998274456edfddcb9d72d93f0bcf33582f/research/hard50-expansion-20261105/panels/hard/cost-data.json"
     },
     "measured-instructions.json": {
-      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad/research/hard50-expansion-20261105/panels/hard/measured-instructions.json"
+      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/eeadca998274456edfddcb9d72d93f0bcf33582f/research/hard50-expansion-20261105/panels/hard/measured-instructions.json"
     },
     "sources.json": {
-      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad/research/hard50-expansion-20261105/panels/hard/sources.json"
+      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/eeadca998274456edfddcb9d72d93f0bcf33582f/research/hard50-expansion-20261105/panels/hard/sources.json"
     },
     "instruction-audit.json": {
-      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad/research/hard50-expansion-20261105/panels/hard/instruction-audit.json"
+      "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/eeadca998274456edfddcb9d72d93f0bcf33582f/research/hard50-expansion-20261105/panels/hard/instruction-audit.json"
     },
     "attempt-history.json": {
       "url": "https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/0c1485e58abde3e82a99e9762cc3dbac790c5dc0/research/kinex-rle-20261104/panels/hard/attempt-history.json"

hard/index.html

@@ -19,9 +19,9 @@
 <a class="skip" href="#main">Skip to content</a>
 <header class="site-header"><div class="header-inner"><a class="brand" href="#overview" aria-label="Programmable VLA home"><img src="assets/kinex-logo.svg" width="34" height="34" alt="Kinex"><span>programmable<span class="brand-divider">/</span><span class="brand-benchmark">vla</span></span></a><nav aria-label="Main navigation"><a href="../plus/index.html">Plus</a><a href="../index.html#overview">Easy</a><a href="#overview" data-nav="overview">Hard</a><a href="#tasks" data-nav="tasks">Explore tasks</a><a href="#instructions" data-nav="instructions">Instructions audit</a><a href="#methodology" data-nav="methodology">Protocol</a></nav><a class="header-link" href="https://huggingface.co/spaces/RLE-Bench/programmable-vla" target="_blank" rel="noopener">Hugging Face <span aria-hidden="true">↗</span></a></div></header>
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-<footer class="site-footer"><div><img src="assets/kinex-logo.svg" width="22" height="22" alt=""><strong>Programmable VLA</strong><span class="footer-org">by RLE-Bench</span></div><div><a data-result-file="data.json" href="https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad/research/hard50-expansion-20261105/panels/hard/data.json" target="_blank">Hard results JSON</a><a data-result-file="sources.json" href="https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/b07d88579523eeeefdf7ad2ca14ee65340af5d4e/hard/sources.json" target="_blank">Data sources</a><a href="https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad/manifest.json" target="_blank">Manifest</a><span id="updated"></span></div></footer>
+<footer class="site-footer"><div><img src="assets/kinex-logo.svg" width="22" height="22" alt=""><strong>Programmable VLA</strong><span class="footer-org">by RLE-Bench</span></div><div><a data-result-file="data.json" href="https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/eeadca998274456edfddcb9d72d93f0bcf33582f/research/hard50-expansion-20261105/panels/hard/data.json" target="_blank">Hard results JSON</a><a data-result-file="sources.json" href="https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/b07d88579523eeeefdf7ad2ca14ee65340af5d4e/hard/sources.json" target="_blank">Data sources</a><a href="https://huggingface.co/datasets/RLE-Bench/programmable-vla/resolve/eeadca998274456edfddcb9d72d93f0bcf33582f/manifest.json" target="_blank">Manifest</a><span id="updated"></span></div></footer>
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 </html>

manifest.json

@@ -112,7 +112,7 @@
     },
     "hard/index.html": {
       "bytes": 3715,
-      "sha256": "84b75676a0f713b792be199245f9cb01eb4603055c33f11db040e97aa77d99cd"
+      "sha256": "857fef15aa066bcd1b073f31f2860965489d77f888eeb93fccc85ca5d316cd88"
     },
     "hard/policy.css": {
       "bytes": 1067,
@@ -124,7 +124,7 @@
     },
     "hard/data-source.json": {
       "bytes": 1622,
-      "sha256": "5f3b46ae2db6c8692530d1605baa50142d92d9f115a190797aad6360ceeb492d"
+      "sha256": "e545a89ad8dfeef1f558c7727784733e5c20c4879db9a4eca3c5bf862181f2c4"
     },
     "plus/app.js": {
       "bytes": 95753,
@@ -288,7 +288,7 @@
   },
   "hard50_expansion_dataset": {
     "repo": "RLE-Bench/programmable-vla",
-    "revision": "5de2305d2fda9c5daeeaf5ecfa7aae829b9652ad",
+    "revision": "eeadca998274456edfddcb9d72d93f0bcf33582f",
     "prefix": "research/hard50-expansion-20261105",
     "complete": false
   }