Datasets:
Make result records available in the dataset viewer
Browse files- README.md +3 -2
- SHA256SUMS.txt +2 -1
- episodes.jsonl +0 -0
README.md
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@@ -12,7 +12,7 @@ configs:
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- config_name: results
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data_files:
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- split: test
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path: episodes.
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---
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# Recursive-Play Bench
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@@ -29,6 +29,7 @@ The [paper](recursive-play-paper.pdf) explains the task construction, fixed-budg
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| `tasks.jsonl` | 150 actual environment records with immutable IDs and canonical seeds, authored mechanics, source hashes, quality flags and reference action counts |
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| `episodes.csv` | Exact final 1,650-row outcome table; eleven configurations, 150 environments each |
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| `summary.json` | Unmodified final score and resource summary, including known/unknown use and eligibility accounting |
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| `original-930.csv` | Exact preserved earlier 930-row table; every field is retained in the final table |
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| `challenge-tasks.jsonl` | Fifteen tasks left unfinished by every configuration, with exact completion-depth vectors |
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@@ -37,7 +38,7 @@ The [paper](recursive-play-paper.pdf) explains the task construction, fixed-budg
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| `recursive-play-paper.pdf` | The current 24-page English paper |
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| `SHA256SUMS.txt` | File hashes for this release payload |
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The Hub `tasks` configuration reads `tasks.jsonl`; `results` reads `episodes.csv`. Both use a `test` split label for organisation. This bank was exposed during development: **that label does not make it a sealed or independent held-out test set.** No train/validation partition or new training labels are fabricated.
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## What a task record means
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- config_name: results
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data_files:
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- split: test
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+
path: episodes.jsonl
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---
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# Recursive-Play Bench
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| 29 |
|---|---|
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| 30 |
| `tasks.jsonl` | 150 actual environment records with immutable IDs and canonical seeds, authored mechanics, source hashes, quality flags and reference action counts |
|
| 31 |
| `episodes.csv` | Exact final 1,650-row outcome table; eleven configurations, 150 environments each |
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| 32 |
+
| `episodes.jsonl` | Viewer-compatible JSONL projection of the same 1,650 CSV rows; all 14 cells per row remain strings, including empty cells |
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| `summary.json` | Unmodified final score and resource summary, including known/unknown use and eligibility accounting |
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| 34 |
| `original-930.csv` | Exact preserved earlier 930-row table; every field is retained in the final table |
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| 35 |
| `challenge-tasks.jsonl` | Fifteen tasks left unfinished by every configuration, with exact completion-depth vectors |
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| `recursive-play-paper.pdf` | The current 24-page English paper |
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| `SHA256SUMS.txt` | File hashes for this release payload |
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+
The Hub `tasks` configuration reads `tasks.jsonl`; `results` reads `episodes.jsonl` for a consistent JSON builder. `episodes.csv` remains the unmodified authoritative CSV. The JSONL is a lossless cell-for-cell projection: no fields, identifiers, scores or empty values are changed or coerced. Both use a `test` split label for organisation. This bank was exposed during development: **that label does not make it a sealed or independent held-out test set.** No train/validation partition or new training labels are fabricated.
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## What a task record means
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SHA256SUMS.txt
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@@ -1,8 +1,9 @@
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-
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362ae6fca185ef2e595653558c4f0f96bf7e95585c5152d20df75adedd070031 challenge-inventory.json
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89e64b2b1b2e43fedd2c984ff70e41c1048bbcc0eb959f3c868dc9eeccaea104 challenge-tasks.jsonl
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274f17ae926aacc603083810582940ae9c7194b923596117eb81a0017291523c environment-source.zip
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4494147848379325cfdf46712ce0ef8f9e19fcb0afc06f1937f9500a8680d430 episodes.csv
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aa3da0943fdde15ab8cca6748a3b6821f2a608926942c4221bee3c24eff133a1 original-930.csv
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82e974c983d2e8ef72a30784e90ab7eb63bb06dbc45d72390108fa0b965b644e recursive-play-paper.pdf
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12bb2a1934bb81663cefee83a890732c35b6fa6ffc51270f65e0e2636318b2e6 summary.json
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f19030b4ede6a89d8246f5d44056367ea9b8806804801f91bc1a60bfe41072bd README.md
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362ae6fca185ef2e595653558c4f0f96bf7e95585c5152d20df75adedd070031 challenge-inventory.json
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89e64b2b1b2e43fedd2c984ff70e41c1048bbcc0eb959f3c868dc9eeccaea104 challenge-tasks.jsonl
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274f17ae926aacc603083810582940ae9c7194b923596117eb81a0017291523c environment-source.zip
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4494147848379325cfdf46712ce0ef8f9e19fcb0afc06f1937f9500a8680d430 episodes.csv
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ab43c34eab505dad12eadb4859f2f154d28d8338d1bc1041796d1467b0f5f1be episodes.jsonl
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aa3da0943fdde15ab8cca6748a3b6821f2a608926942c4221bee3c24eff133a1 original-930.csv
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82e974c983d2e8ef72a30784e90ab7eb63bb06dbc45d72390108fa0b965b644e recursive-play-paper.pdf
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12bb2a1934bb81663cefee83a890732c35b6fa6ffc51270f65e0e2636318b2e6 summary.json
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episodes.jsonl
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