alt.freeweights.datasets / WildChat-4.8M

From:

allenai <huggingface.co/allenai>Newsgroups: alt.freeweights.datasetsSubject:

WildChat-4.8M

Date: 2026-11-14Commit: c827c6dSigned: 2DC28CC7B26A283B ✓

Dataset. Parquet files, 15.3 GB in all. Published by allenai under ODC-By-1.0.

datasets

15.3GBWildChat-4.8Mparquetpermissive

FactsRowsnot statedSize15.3 GBFormatparquetLicenseODC-By-1.0From sourcepermissive

>>> from datasets import load_dataset
>>> ds = load_dataset("allenai/WildChat-4.8M")
# with HF_ENDPOINT=https://freeweights.allternit.com · manifest sha256 39ff28faa5a2…

From sourceHosted (signed)allenai/WildChat-4.8MLast check: 2026-11-14 06:37 UTC

Get help

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Works with

Run1 Evaluate13 Scan11 Apps65

Runs with

Ranked by fit to this model (parquet), then by GitHub stars.

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Evaluate with

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Overview Model card Files Use it License Provenance Model tree

Overview

Size: 15.3 GB
Weights: dataset
Parameters: not stated
Formats: parquet
Task: text generation, question answering
License: ODC-By-1.0 (permissive)
Files: 89, each with a sha256
Publisher: allenai
Added: 2026-11-14
Section: alt.freeweights.datasets

Lineage

Original release from the publisher.

Where these bytes come from

Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources

Badge	Host	Last check	Result
From source	huggingface.co	2026-11-14 06:37 UTC	passed

Model card

No model card stored here.No README was stored for this model. Read the publisher's page: https://huggingface.co/datasets/allenai/WildChat-4.8M

Files

89 files · 15.3 GB Sizes and sha256 from the signed manifest.

Show all 89 files with their sha256

File	Size	sha256
.gitattributes	2.46 KB	e7a120ab07b1bc5b486be249e9fc6c83d59448d0093e1dfebe95d1566d9cafc0
LICENSE.md	19.9 KB	a7c7f6bdb20d261b8726c7594afb5832b36926e0cabfa116c41f58625bbc776c
README.md	15.0 KB	946c2526ed254c35380b9366b3ca1c1bded65695c21c388194e1b643acac70c6
data/train-00000-of-00086.parquet	126 MB	6df660dca78dd92b865bef09b928992ceb6c913b4f06082315876a5997ad2eaa
data/train-00001-of-00086.parquet	120 MB	9eb37ee110a470e6b7bc4ac23bde112a2756e06f96e5517bad93b87cedca03bd
data/train-00002-of-00086.parquet	115 MB	8cafa7a6d3387f8f15edc77b98108cbd8dedca5a927dbdb626ec720a718bfb2b
data/train-00003-of-00086.parquet	111 MB	4304a25529bce00187a754bb8629a7d9cbafbc8933f374ae05c9527d03f7bb8d
data/train-00004-of-00086.parquet	127 MB	bf69902b6fa66f19ffd8ab6fffcc4d17107df93c7f80dbc76d53037aab5849fb
data/train-00005-of-00086.parquet	115 MB	1d13a7a8da0fd1c73446ff72a79019fffe81d83943780ebb4c740a97edaaf129
data/train-00006-of-00086.parquet	117 MB	64ed8e61ee03db406e8cd64e05dbdf61b412ef2ec10c76dcea7a43584efe0b5e
data/train-00007-of-00086.parquet	119 MB	1e2990268f6a824dbd6939ba098e2d2f4642189de1ae4d8239aab637c2b289e6
data/train-00008-of-00086.parquet	105 MB	d89c47296bbbd1e1a0ee4372b65f939069b890c11619e66200efda7705931d5b
data/train-00009-of-00086.parquet	106 MB	012e5a06e10703755b10f197623813329fafb4a9b1fd3f7a7ab93e049f23e6cc
data/train-00010-of-00086.parquet	106 MB	5c0ae4433886ec1ea0dc4f7daa1f26574e75c471614b6d2420afd674a338f153
data/train-00011-of-00086.parquet	103 MB	b09ef3afceb329a0ff6696cda9312ed9b2a4cf5c7d2e0cb72829a3a2c14f101a
data/train-00012-of-00086.parquet	93.2 MB	31408ad8b4c34899c9b910128004ca4d61ff2c1322da17977ea24808c1de67d1
data/train-00013-of-00086.parquet	129 MB	d2bacf903d35f781d52a63d9a9e5ac11b0620f56a672d8b16e07f44c97afb16c
data/train-00014-of-00086.parquet	168 MB	8538243cf3cf6513c46658d4dc2da19f6bde729f3e04197abe9abac30aae8bfe
data/train-00015-of-00086.parquet	189 MB	005d33719a3974709ebe46240b9104f1f920378358019786f25d423f4294eda5
data/train-00016-of-00086.parquet	196 MB	5797e81c900c1cdfc35425899736d66d435196054cd11d5ba478f9813b031c1f
data/train-00017-of-00086.parquet	156 MB	7191bedb90425e05955f1b1287d00017d62046825144e7cd0298dfe121d8404c
data/train-00018-of-00086.parquet	159 MB	83ee586e02d7a0d830e4be485483b3e015894f5964d0e73e6162f70ef8e00227
data/train-00019-of-00086.parquet	175 MB	23f8a623dbbf2e6eb98ff425260d41352364f615e896070ee06630d22886ac30
data/train-00020-of-00086.parquet	192 MB	eef65cc1403a4528857b4caa310cf962bf459c11a2e961333507afcc5c2a922f
data/train-00021-of-00086.parquet	183 MB	bce3c99d78a7ca923bf5e539646ead5d8e967785936dfef0dc29ba38779cbc3b
data/train-00022-of-00086.parquet	138 MB	08e96271de5893c70475028bac65d34afb59e4b63e8d6b6e93e8a73bfa170e81
data/train-00023-of-00086.parquet	135 MB	3905c03b6de65c5728a875613f599902360167e776617487b964c2a9b48b27a4
data/train-00024-of-00086.parquet	142 MB	89fed451d935d70f6a066304347808e586447f7e994f3a9a06a79879cf68911a
data/train-00025-of-00086.parquet	163 MB	c50c6f435d58cacb6efdf01245bf518da8e7038f2b667ef46acd2d738596c232
data/train-00026-of-00086.parquet	166 MB	537f7dcd7744aa7890a5ef8cef9559eac68712d9cf1f0a20d06b5127d5c0f846
data/train-00027-of-00086.parquet	185 MB	c1b1397e6d5cd772e461d1aee8dbdd6d5f4a6042434600616fe3be02baa4be80
data/train-00028-of-00086.parquet	184 MB	c3c7fa6d1ee01a2604d840c081dc4f625556d4afd1ec1db6dec662a390eb97c1
data/train-00029-of-00086.parquet	170 MB	92a46955e009695db1fd99d3460be99a23cdcc58f659f5b3b737e4cd98b2c562
data/train-00030-of-00086.parquet	216 MB	d12254a456e9e17f1b8f9c62203d8951e18edcfcf491135043842c5de618f679
data/train-00031-of-00086.parquet	140 MB	00c21c305fb807f1cf2db30546ecde7fa0dd707c8e9a8e4629eac5865d03381f
data/train-00032-of-00086.parquet	130 MB	ce5a1e027939c589eb01be83486c041934aa70708c59cde6e84d0f8a9756f416
data/train-00033-of-00086.parquet	72.1 MB	445bfee1a5b6d2f611644eb2ce79f7abed1cc15efb8062c0eee013a963573ddd
data/train-00034-of-00086.parquet	80.4 MB	cedf81b7f59646e2ef1aba9987dfd2761637e70708cc8276b0415c0b1b6fb659
data/train-00035-of-00086.parquet	144 MB	a246f82120add98df360f94c2fa7dfe0a4507bc76bf36374238a9620ce044985
data/train-00036-of-00086.parquet	122 MB	e1ccaa1cb50ec05d28913af0289b0ba7d47c56f01071d3d9232d7d851b293c4e
data/train-00037-of-00086.parquet	106 MB	8f41d3591744fd19c86b46d6a2a2323bced623097be5dbd36f1b5455939e382a
data/train-00038-of-00086.parquet	91.0 MB	d16d5cb1e3dc27197aa80189640e456dc75d8e6f8af956e13b4d2b2bd1e5053c
data/train-00039-of-00086.parquet	132 MB	bd3551f744ff1193772662fb4a46587ac9657dfda392c27d539c033188d467b6
data/train-00040-of-00086.parquet	112 MB	f41233bedd45025533b06ad929697b1254645bcea92b8fffa2d36787aabcbea0
data/train-00041-of-00086.parquet	85.6 MB	4a404d97109aa4426a48c9784a9767ffa2b92fb3adce95d289612211bcb2ea9e
data/train-00042-of-00086.parquet	101 MB	5e9679614fcc4603fca79e9466a8fd21b2c1869a63be4f862a6c264d00956bdf
data/train-00043-of-00086.parquet	135 MB	67e27a2bbc3d7e334c334a68f3ea206c0833d06a676100a21b9c2dda3fccfacd
data/train-00044-of-00086.parquet	179 MB	bb34e29bf1b12b0611d5aebb897e78cb3c6bbc2fd792fd824b147ca9a774d6a0
data/train-00045-of-00086.parquet	71.0 MB	cb8a62df488ec1bfb7fa912341a55a2a334636e2cec60702832c4e091b31d87f
data/train-00046-of-00086.parquet	164 MB	e269361e0fa44963bf1a3cae1601a975a427957b6c1f272dc281afe9a692fe81
data/train-00047-of-00086.parquet	116 MB	c1ec394a6981e667d74e7b5df119017a46669bd953cfc0312539eb15e59027b2
data/train-00048-of-00086.parquet	221 MB	94ab314bc5e7c20f32a9bc9e2a6dcdee2cd73e10ffec620551d00f2d766cc932
data/train-00049-of-00086.parquet	103 MB	6f8f300c0501ce5d83912abf1ae1097ed04c30d9ef93005003a39f4c61f1024c
data/train-00050-of-00086.parquet	142 MB	203f57614c093871cbe42dd9da0528cb33354230a511d3ec509c80c6fce0b116
data/train-00051-of-00086.parquet	156 MB	62561019494ce8f14da95c3ba5248a95499c4458eff8ff55a85ecb49bf87fb19
data/train-00052-of-00086.parquet	218 MB	71c342aa4ad3f49979058300d4a1e7fd22fc0042c48818ee5b0036372bb4ad70
data/train-00053-of-00086.parquet	204 MB	d42f4151d56d27c63bd277aa095b93f215c857dc7caefe977c56f7c46327c971
data/train-00054-of-00086.parquet	190 MB	090f7aeca356f1fc97a403d070350030dc2a46ed4ac609f94e6dfe7a944b810d
data/train-00055-of-00086.parquet	160 MB	f864db4ce3a00c3ebf3062d70a7e6c7db090149528ada00f783273120acc39f4
data/train-00056-of-00086.parquet	193 MB	3bfff845bb9c1af9d4b94efaf4d90ad0db75b6155955dca8a332294954396c8f
data/train-00057-of-00086.parquet	69.6 MB	a7ff032a7d74b3ca1fb1077a9f141047c1ba8f6e3336d36dbdd7fbb74fc15be5
data/train-00058-of-00086.parquet	268 MB	02be58c38df261f500e14d0736d127359908e892fe3d9541317ca0e67e3d225d
data/train-00059-of-00086.parquet	63.5 MB	096c15853c9cb757c8f7a8416dc3c9eb0d21220218df2a25b316514f7d85e248
data/train-00060-of-00086.parquet	70.8 MB	be5810990246339f316addbeb9d27a4a60281fc82e11fa5781a56c3ec0f2ec85
data/train-00061-of-00086.parquet	97.9 MB	16c729bad04fa62c7ea1d59958a35a271e32038dd6f64f2bf4ad0dddd0861289
data/train-00062-of-00086.parquet	97.7 MB	53915ea5cc45f186c6b2c2a52d5aa905065809824ca6bad48aed857806ba311c
data/train-00063-of-00086.parquet	84.5 MB	db27216a826c67eb07e850955eafe0317db831611ebbbb5c94267bc7388ef4b1
data/train-00064-of-00086.parquet	130 MB	e564311b99ac2427621c14a9a01d39570810883b0936d8ca2e60676dbecdbf2a
data/train-00065-of-00086.parquet	86.5 MB	7ff5f195fc8ce27f99d9c9acf5e699b9974858929758d4b9f9bb01dae572e3a8
data/train-00066-of-00086.parquet	102 MB	dd8d7aa249b24f0d095e1faaa3f36bc128a72078f8da62b504e584faf479fdfa
data/train-00067-of-00086.parquet	167 MB	2e6d04701794be220967da3e685acfeea466922b8acaabd8b41ef384932606f4
data/train-00068-of-00086.parquet	136 MB	c822fccefee6c93d9b294fc46b1c6d4ea4a7fc09ecf29ee560f728e1789da138
data/train-00069-of-00086.parquet	114 MB	8faa032640cd97f38a2f8556493c11bd286687a8fc288c78035e030be7799bb3
data/train-00070-of-00086.parquet	429 MB	456dcd23a5440b3ff11e9929fe0b3f2df980722520f0cf10ac4c97b3e0e0840c
data/train-00071-of-00086.parquet	443 MB	790b7136cf1c30bea4636879ce707b9f60eff68d21c0c91f3da809aa7a7c40e7
data/train-00072-of-00086.parquet	561 MB	8073eae7e88514bce1371e2cba2d99fda729c2e721deb2003d0706998990d80f
data/train-00073-of-00086.parquet	351 MB	1714979e501bb94155dfc10e8ecc83cc572f95052a92f93190137bb3c2f0bbf7
data/train-00074-of-00086.parquet	430 MB	cf643737d8408520de2b2dcdbd2e8162d7d4474ff892d5ce3b4704d7e6029018
data/train-00075-of-00086.parquet	203 MB	8f49eccd9d0223f3943fca1f442b689d966db7b694509e8631674b66470e4896
data/train-00076-of-00086.parquet	270 MB	6c14a0804085b68ec7e048f54f7568158c3308d02e1361df2bc6bfc334c2023a
data/train-00077-of-00086.parquet	240 MB	ac3de10a380ae6d6af11d5808163c3bbd025cb0427c11daefd2efc147d893ab9
data/train-00078-of-00086.parquet	108 MB	93e62729e5a918c1f4303039408fb3389598a425fd01e49bd4fb61b7ba042d77
data/train-00079-of-00086.parquet	277 MB	88a95e33d3312b5d907777a0c68380e7e97f7c19673908038ce486eb98b4f8b6
data/train-00080-of-00086.parquet	186 MB	1ed63ac322419a05307a474c0db595cb440ca8d72c434dfcfd74f4bdf90028ae
data/train-00081-of-00086.parquet	235 MB	5225536ee428b75536d4094c33647c588ee923d90891e66c066b22d7ce3a6eb7
data/train-00082-of-00086.parquet	432 MB	cc59d977ccf6b461555b8b641cf842082e5bcdc3965f21e9e11478c6e9cb56a5
data/train-00083-of-00086.parquet	507 MB	b2690a72cc7ea4877bf8f727e2af7f426a291aa3c91d48647d090b646fc27819
data/train-00084-of-00086.parquet	546 MB	365a2ee2c4595eb044cc3ad36b72ec582244283645001cd705d0d0e73651548d
data/train-00085-of-00086.parquet	496 MB	898fd913b72075c13e237a70e9f60da9adbb9fd652b46970e123a3258b19f9ff

VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.

Upstream commit	Date	Contents
c827c6df8f pinned now manifest updated, same commit	2026-11-14 06:37 UTC	89 files · 15.3 GB
c827c6df8f	2026-11-14 06:37 UTC	89 files · 15.3 GB

Use it

>>> from datasets import load_dataset
>>> ds = load_dataset("allenai/WildChat-4.8M")
# with HF_ENDPOINT=https://freeweights.allternit.com · manifest sha256 39ff28faa5a2…

fw.pyChecks the signature and every sha256, tries each source in order, resumes.

$ python3 fw.py get https://freeweights.allternit.com/manifests/allenai/WildChat-4.8M.json --dir ./WildChat-4.8M
$ python3 fw.py verify ./WildChat-4.8M ./allenai__WildChat-4.8M.json

hfThe Hugging Face CLI with one setting. Same repo id.

$ HF_ENDPOINT=https://freeweights.allternit.com hf download allenai/WildChat-4.8M --revision c827c6df8fcf008219ffaffa4d1dd77491099367 --local-dir ./WildChat-4.8M

datasetsLoad it with the datasets library.

import os
os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com"
from datasets import load_dataset
ds = load_dataset("allenai/WildChat-4.8M", revision="c827c6df8fcf008219ffaffa4d1dd77491099367")

License

Name: Open Data Commons Attribution License 1.0
Id: ODC-By-1.0
Class: Permissive
Redistribution: yes
Listing: Hosted (signed)
Decided: Checked and recorded in the license audit. 2026-11-14
Text in: LICENSE.md
Text sha256: a7c7f6bdb20d261b8726c7594afb5832b36926e0cabfa116c41f58625bbc776c
Terms gate: No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From:

allenai <huggingface.co/allenai>Newsgroups: alt.freeweights.datasetsSubject: WildChat-4.8MDate: 2026-11-14Commit: c827c6dSigned: 2DC28CC7B26A283B ✓

Upstream: allenai/WildChat-4.8M
Pinned commit: c827c6df8fcf008219ffaffa4d1dd77491099367
Manifest: WildChat-4.8M.json · .minisig
Manifest sha256: 39ff28faa5a29673b48ce1f8c3f54c3f8e7c5b7da2fc264c640fcd8fd3a4ed72
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-14 06:37 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/allenai/WildChat-4.8M.json
$ curl -O https://freeweights.allternit.com/manifests/allenai/WildChat-4.8M.json.minisig
$ minisign -Vm WildChat-4.8M.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq
$ shasum -a 256 <file>   # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.

Get it

Download

$ HF_ENDPOINT=https://freeweights.allternit.com hf download allenai/WildChat-4.8M

Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest

minisign, key 2DC28CC7B26A283B. WildChat-4.8M.json. Provenance. Takedown history: none.

Source

huggingface.co/datasets/allenai/WildChat-4.8M

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